Top Sites>Dragonfly | An In-Memory Data Store without Limits

# *
User-agent: *
Disallow: /admin/*

# Host
Host: https://www.dragonflydb.io

# Sitemaps
Sitemap: https://www.dragonflydb.io/sitemap.xml
Sitemap: https://www.dragonflydb.io/docs/sitemap.xml

#DragonflyDB Website

> In-memory data store built for massive workloads. Dragonfly is a drop-in Redis replacement that is designed for heavy data workloads running on modern cloud hardware. Migrate in less than a day and experience up to 25X the performance on half the infrastructure.

## Key Pages
> Essential pages for understanding DragonflyDB's core offerings and pricing.

- [Dragonfly | An In-Memory Data Store without Limits](https://www.dragonflydb.io/): Discover Dragonfly - the most performant in-memory data store, engineered for extreme throughput at scale.
- [Dragonfly Pricing - Up to 80% Off Redis Costs](https://www.dragonflydb.io/pricing): Discover Dragonfly Cloud Pricing: Save up to 80% compared to Redis. No code changes required.

## Blog Posts
> Discover innovative tools and integrations for modern cloud database management with DragonflyDB's expert insights and technical guides.

- [How Dragonfly Cloud Cuts Failover to One Second](https://www.dragonflydb.io/blog/no-sentinels-required-how-dragonfly-cloud-cuts-failover-to-one-second): Dragonfly Cloud cuts Redis failover from 30+ seconds to 1 second by embedding failure detection directly into the data plane. No Sentinel required.
- [Why Redbus Skipped Valkey and Bet on a New Cache Architecture](https://www.dragonflydb.io/blog/why-redbus-skipped-valkey-and-bet-on-a-new-cache-architecture): Redbus, one of the world's largest travel ticketing platforms, migrated a large distributed cache from ElastiCache to Dragonfly for lower costs and better efficiency.
- [Why Multi-Terabyte Redis Deployments Are Due for a Rethink](https://www.dragonflydb.io/blog/why-multi-terabyte-redis-deployments-are-due-for-a-rethink): At a certain scale, Redis starts costing you more than just money.
- [Building a Self-Fuzzing CI Pipeline for Dragonfly](https://www.dragonflydb.io/blog/building-a-self-fuzzing-ci-pipeline-for-dragonfly): This post covers how we went from ad-hoc manual fuzzing to a fully automated CI pipeline where an LLM generates targeted attack vectors for every pull request.


- [Dragonfly - Vector Search Just Got Faster](https://www.dragonflydb.io/blog/vector-search-just-got-faster): Dragonfly v1.37 Delivers Up to 7x Throughput Gains and 65x Lower Latency.
- [How Dragonfly Powers Modern ML Feature Stores for E-Commerce](https://www.dragonflydb.io/blog/scaling-the-e-commerce-brain-how-dragonfly-powers-modern-ml-feature-stores): Explore why modern e-commerce AI needs a feature store backbone like Dragonfly for predictable, ultra-low latency and massive throughput.
- [Akuity Boosts Argo CD Performance, Cuts Cost with Dragonfly](https://www.dragonflydb.io/blog/akuity-argocd-dragonfly-case-study): Learn how Akuity replaced Redis with Dragonfly in Argo CD, cutting infrastructure pods by 43% and achieving major performance and cost improvements.
- [Scaling Real-Time Financial Data Infrastructure: A Modern Security Master Blueprint](https://www.dragonflydb.io/blog/scaling-real-time-financial-data-infrastructure-security-master): Learn how to build a high-performance security master using Dragonfly. Scale real-time financial data with low-latency lookups, keyword search, and semantic vector queries.
- [Dragonfly as a Multi-Purpose Data Store for AI Applications](https://www.dragonflydb.io/blog/dragonfly-as-a-multi-purpose-data-store-for-ai-applications): Discover how Dragonfly serves as a versatile backend for LlamaIndex AI applications, delivering higher throughput, lower latency, and simpler architecture.
- [Dragonfly 2025 in Review: The Year of Growth, Consolidation, and Maturation](https://www.dragonflydb.io/blog/2025-recap): The 2025 recap celebrates Dragonfly’s growth to 29.5K stars, major product and cloud service launches, and a year of global community engagement.
- [The Hidden Bottlenecks of Scaling Out: Network, CPU, and Memory](https://www.dragonflydb.io/blog/the-hidden-bottlenecks-of-scaling-out): Scaling out your database with many small instances creates network and other bottlenecks. Learn how modern architecture can leverage large machines for true performance.
- [Choosing the Right Path: Migration Patterns for Redis to Dragonfly](https://www.dragonflydb.io/blog/migration-patterns-redis-to-dragonfly): Explore proven migration patterns for moving from Redis to Dragonfly, and choose the right approach for reliability and low-disruption cache modernization.
- [AWS re:Invent 2025: The Blueprint for the Agentic AI Era](https://www.dragonflydb.io/blog/aws-reinvent-2025-top-announcements): A recap of the key AWS re:Invent 2025 announcements powering the transition to industrial-scale and practical AI, from Nova models to Trn3 infrastructure.
- [Dragonfly SSD Data Tiering: Cost-Effective Scaling for Massive Workloads](https://www.dragonflydb.io/blog/dragonfly-ssd-data-tiering-community-announcement): Dragonfly Data Tiering extends RAM with SSDs for massive, cost-effective datasets. Deliver high performance for scaled workloads at a fraction of the cost.
- [Scaling Geospatial Queries: Dragonfly’s Inverted GEO Index](https://www.dragonflydb.io/blog/dragonfly-inverted-geo-index): Dragonfly natively supports fast geospatial indexing and radius searches. Learn how its R-Tree implementation enables efficient querying of location data at scale.
- [The In-Memory Data Landscape 1.5 Years After the Valkey Fork](https://www.dragonflydb.io/blog/in-memory-data-landscape-at-the-end-of-2025): Analyze the evolving in-memory data landscape post-Valkey fork, comparing solutions for context-rich AI/ML workloads and performance.
- [Threading Models Matter: Dragonfly Pulls Ahead of Valkey](https://www.dragonflydb.io/blog/why-threading-models-matter-dragonfly-vs-valkey): Valkey’s single-threaded engine can quickly hit the ceiling. Discover how Dragonfly’s threading model scales linearly for CPU-intensive workloads.
- [Migrating from Redis to Valkey: Process, Cost & Performance](https://www.dragonflydb.io/blog/migrating-from-redis-to-valkey-process-cost-and-performance): Explore the benefits of migrating from Redis to Valkey. We break down the cost savings, performance gains, and what the migration process truly involves.
- [What’s New in Valkey 9.0: Key Features and Improvements](https://www.dragonflydb.io/blog/whats-new-in-valkey-v9): See how new features in Valkey 9.0, from new commands to safe shutdown, demonstrate healthy progress for the open-source in-memory data store landscape.
- [The Modern Data Infrastructure Summit—Full Talks Now Live](https://www.dragonflydb.io/blog/modern-data-infrastructure-summit-playlist-2025): Celebrating our first-ever Modern Data Infrastructure Summit! Watch the full talks on building modern, scalable data infrastructure for AI and real-time workloads.
- [Dragonfly Swarm 2TB Cluster Hits 10M+ RPS Easily, Nears 20M with Pipelining](https://www.dragonflydb.io/blog/dragonfly-swarm-2tb-enhanced-10m-rps-20m-with-pipelining): We benchmarked a 2TB Dragonfly Swarm data store, achieving over 10M RPS and nearing 20M with pipelining. See the full performance breakdown and cost savings.
- [Building RAG Systems with LlamaIndex and Dragonfly](https://www.dragonflydb.io/blog/building-rag-systems-with-llamaindex-and-dragonfly): Learn to build a RAG system with LlamaIndex and Dragonfly for real-time, domain-specific AI answers without model retraining.
- [Memcached to Dragonfly: Stop Serializing, Start Simplifying](https://www.dragonflydb.io/blog/memcached-to-dragonfly-stop-serializing-start-simplifying): Upgrade from simple strings to rich data types. Our guide shows you how to migrate from Memcached to Dragonfly with dual mode and keyspace sharing.
- [Building a Feature Store with Feast, DuckDB, and Dragonfly](https://www.dragonflydb.io/blog/building-a-feature-store-with-feast-duckdb-and-dragonfly): Learn to build a scalable ML feature store with Feast. Use DuckDB for offline data and Dragonfly for high-performance online feature serving.
- [ShareChat Achieves 40% Cloud Cost Reduction with Dragonfly Cloud](https://www.dragonflydb.io/blog/case-study-sharechat-dragonfly-cloud): How India’s largest social media company modernized its infrastructure, migrating 150+ services to Dragonfly Cloud for 40% lower costs and no noisy neighbor issues.
- [Dragonfly Cloud Enterprise: Built for the Heaviest In-Memory Data Workloads](https://www.dragonflydb.io/blog/introducing-dragonfly-cloud-enterprise): Dragonfly Cloud Enterprise includes new functionality such as bring-your-own-cloud (BYOC), autoscaling, multi-region backups, and more.
- [Integrating Apache Airflow with Celery and Dragonfly](https://www.dragonflydb.io/blog/integrating-apache-airflow-with-celery-and-dragonfly): Learn how to set up Apache Airflow and Celery with the high-performance Dragonfly data store for superior workflow orchestration and scalability.
- [Case Study: Zedia Powers High-Performance AdTech with Dragonfly](https://www.dragonflydb.io/blog/case-study-zedia-powers-high-performance-adtech-with-dragonfly): Discover how Zedia slashed costs & scaled ad delivery using Dragonfly’s high-performance, Redis-compatible in-memory data store with spot instances.
- [Keeping Dragonfly Always-On: High Availability Options Explained](https://www.dragonflydb.io/blog/dragonfly-high-availability-options-explained): Explore three ways to run Dragonfly with high availability: Redis Sentinel, Kubernetes Operator, and Dragonfly Cloud, ensuring zero downtime.
- [How Dragonfly Delivers 80% Lower Costs Than Redis?](https://www.dragonflydb.io/blog/how-dragonfly-delivers-80-per-cent-lower-costs-than-redis): Dragonfly’s architecture, memory efficiency, and lower pricing can cut Redis costs by up to 80%. Learn the key savings drivers.
- [Geo Indexes: Powered by Dragonfly Sorted Sets](https://www.dragonflydb.io/blog/geo-indexes-powered-by-dragonfly-sorted-sets): Discover how Dragonfly implements geospatial indexes using high-performance sorted sets, enabling fast location queries. Learn the internals in this guide.
- [Caching with Dragonfly and Java Spring Boot in 5 Minutes](https://www.dragonflydb.io/blog/caching-with-dragonfly-and-java-in-5-minutes): Boost Java app performance with Dragonfly as a Redis-compatible cache. Learn to integrate it with Spring Boot for scalable caching.
- [Read Replicas Done Right](https://www.dragonflydb.io/blog/read-replicas-done-right): Learn why read replicas are often unnecessary with Dragonfly’s architecture. And when they still make sense sometimes, they’re now enabled by default for Dragonfly Swarm.
- [Balanced vs. Unbalanced](https://www.dragonflydb.io/blog/balanced-vs-unbalanced): Balance is essential in life. When our focus is limited to improving a single aspect of our life, we weaken the whole system.
- [RisingWave + Dragonfly: No More Stale Cache and Outdated Features](https://www.dragonflydb.io/blog/risingwave-dragonfly-no-more-stale-cache-and-outdated-features): Eliminate stale data with RisingWave and Dragonfly. Automatically sync databases to real-time cache & feature store. Instant updates, zero manual invalidation.
- [Caching with Dragonfly and TypeScript in 5 Minutes](https://www.dragonflydb.io/blog/caching-with-dragonfly-and-typescript): Add Redis-compatible caching to your TypeScript/JavaScript app with Dragonfly in 5 minutes. A full code walkthrough is included.
- [The Value Benchmark: Dragonfly Cloud Beats ElastiCache on Every Dollar](https://www.dragonflydb.io/blog/value-benchmark-dragonfly-cloud-vs-elasticache): Dragonfly outperforms ElastiCache in throughput, latency, and cost-efficiency, proving much higher value per dollar.
- [Syncing Data from PostgreSQL to Dragonfly Using Airbyte](https://www.dragonflydb.io/blog/syncing-data-from-postgresql-to-dragonfly-using-airbyte): Learn how to sync PostgreSQL data to Dragonfly using Airbyte, a step-by-step guide with Docker setup and verification.
- [Abusix Scales Real-Time Threat Intelligence with Dragonfly](https://www.dragonflydb.io/blog/case-study-abusix-eliminates-bottlenecks-and-scales-threat-intelligence-with-dragonfly): Abusix scaled real-time threat intelligence by migrating to Dragonfly Cloud, eliminating bottlenecks with high-performance sorted sets.
- [Redis 8.0 vs. Valkey 8.1: A Deep Technical Comparison](https://www.dragonflydb.io/blog/redis-8-0-vs-valkey-8-1-a-technical-comparison): A deep technical comparison of Redis 8.0 vs. Valkey 8.1: threading models, performance benchmarks, feature sets, and licensing.
- [Feature Stores: Architecture and Online/Offline Storage](https://www.dragonflydb.io/blog/feature-store-architecture-and-storage): Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
- [Dragonfly Cloud on Azure: Boost Your In-Memory Data Infra](https://www.dragonflydb.io/blog/announcing-dragonfly-cloud-on-microsoft-azure): Dragonfly Cloud is now on Microsoft Azure—get started today with trial credit and waived network fees for 3 months!
- [Case Study: Sharp App Boosts Sports Betting with Dragonfly](https://www.dragonflydb.io/blog/case-study-sharp-app-boosts-sports-betting-with-dragonfly): Sharp App cut latency by 85% & boosted throughput with Dragonfly, replacing Redis for real-time sports betting analytics. Read their success story!
- [Redis 8.0 Lands: New Features and More License Drama](https://www.dragonflydb.io/blog/redis-8-lands-new-features-and-more-license-drama): Redis 8.0 introduces vector sets and returns to open source with AGPL, but can it rebuild trust? We analyze the licensing and technical upgrades in this blog post.
- [Dragonfly Is Not Redis: An Open Letter to the Community](https://www.dragonflydb.io/blog/dragonfly-is-not-redis-an-open-letter-to-the-community): Modern architecture, better performance, lower cost, and built for today’s needs and future scale. Dragonfly is not Redis.
- [Stop Ad Fatigue with Dragonfly’s Built-In Rate Limiting](https://www.dragonflydb.io/blog/stop-ad-fatigue-with-dragonflys-built-in-rate-limiting): Rate limiting with CL.THROTTLE prevents ad fatigue by controlling impression frequency—allowing controlled bursts while maintaining smooth ad delivery at scale.
- [Google Cloud Next and the AI-Driven Data Revolution](https://www.dragonflydb.io/blog/google-cloud-next-and-the-ai-driven-data-revolution): Google Cloud Next 2025: AI breakthroughs, next-gen data infrastructure, and cutting-edge compute hardware—built for scale.
- [Live Migration from AWS ElastiCache to Dragonfly Cloud](https://www.dragonflydb.io/blog/live-migration-from-aws-elasticache-to-dragonfly-cloud-a-hands-on-demo): Discover a zero-downtime migration strategy from AWS ElastiCache to Dragonfly Cloud while maintaining data consistency.
- [Supercharge Your Applications with Dragonfly Cloud on GCP](https://www.dragonflydb.io/blog/supercharge-your-applications-with-dragonfly-cloud-on-gcp): Boost application performance with Dragonfly Cloud with sub-millisecond latency, now on Google Cloud Marketplace. Deploy directly within your GCP account today!
- [Dragonfly Cloud: Now Available in GCP Marketplace](https://www.dragonflydb.io/blog/dragonfly-cloud-now-available-in-gcp-marketplace): Dragonfly Cloud is now available in Google Cloud Marketplace, streamlining billing and integrating seamlessly with your GCP infrastructure. Purchase directly within GCP and experience the performance and cost savings of Dragonfly Cloud today.
- [Automating Dragonfly Cloud Private Networks with Terraform](https://www.dragonflydb.io/blog/automating-dragonfly-cloud-private-networks-with-terraform): Learn how to configure private networks for Dragonfly Cloud data stores using Terraform—improving security, lowering latency, and optimizing costs.
- [Meesho Migrates from Redis to Dragonfly: Cuts Latency by 50%](https://www.dragonflydb.io/blog/meesho-migrates-from-redis-to-dragonfly-cuts-latency-and-costs): Learn how Meesho, a leading Indian e-commerce platform, migrated from Redis to Dragonfly, cutting latency by 50% and reducing infrastructure costs by 60%.
- [The Future of Modern Data Infrastructure](https://www.dragonflydb.io/blog/the-future-of-modern-data-infrastructure): Explore key predictions shaping modern data infrastructure. Discover what’s next for future-ready infrastructure and stay ahead in data innovation.
- [Provisioning a Large Cache on AWS with Dragonfly Cloud and Terraform](https://www.dragonflydb.io/blog/provisioning-a-large-cache-on-aws-with-dragonfly-cloud-and-terraform): Learn how to provision a 200GB cache on AWS with the Dragonfly Cloud Terraform Provider, which is perfect for high-performance cloud-native apps.
- [Introducing the Dragonfly Cloud Terraform Provider](https://www.dragonflydb.io/blog/introducing-the-dragonfly-cloud-terraform-provider): Dragonfly Cloud introduces a Terraform Provider to automate your high-performance in-memory data infrastructure, enabling a seamless Infrastructure-as-Code experience.
- [Dragonfly vs. Valkey Benchmark: 4.5x Higher Throughput on GCP](https://www.dragonflydb.io/blog/dragonfly-vs-valkey-benchmark-on-google-cloud): Dragonfly outperforms Valkey in throughput, performance stability, and memory efficiency, scaling linearly with CPU cores and excelling in high-concurrency, CPU-intensive workloads.
- [Announcing Dragonfly Swarm: In-Memory Data without Limits](https://www.dragonflydb.io/blog/announcing-dragonfly-swarm-scaling-in-memory-data-without-limits): Dragonfly Swarm redefines in-memory data scaling, combining vertical and horizontal scaling for terabyte-scale workloads with unmatched performance, simplicity, and cost efficiency.
- [Crypto News Aggregation with Dragonfly - Part 2](https://www.dragonflydb.io/blog/crypto-news-aggregation-with-dragonfly-part-02): Let's continue our journey of building a high-performance crypto news aggregation system utilizing Dragonfly’s vector search capabilities.
- [Crypto News Aggregation with Dragonfly - Part 1](https://www.dragonflydb.io/blog/crypto-news-aggregation-with-dragonfly-part-01): Learn how to build a high-performance crypto news aggregation system using Dragonfly’s JSON and SEARCH APIs for traders and developers.
- [Modern Distributed Database Architectures - Part 2](https://www.dragonflydb.io/blog/modern-distributed-database-architectures-part-02): Explore distributed database architectures and their tradeoffs, highlighting trends in scalability, consistency, and cloud-native design.
- [Multiplayer State Management with Unity and Dragonfly Cloud](https://www.dragonflydb.io/blog/multiplayer-state-management-with-unity-and-dragonfly-cloud): Integrate Unity with Dragonfly Cloud. Transform your local game into a real-time online multiplayer experience effortlessly.
- [Modern Distributed Database Architectures - Part 1](https://www.dragonflydb.io/blog/modern-distributed-database-architectures-part-01): Discover the tradeoffs of modern distributed database architectures. Learn how they shape performance, consistency, and fault tolerance.
- [High Availability in Cloud-Based In-Memory Data Stores](https://www.dragonflydb.io/blog/high-availability-in-cloud-based-in-memory-data-stores): Learn how Dragonfly Cloud ensures high availability with replica configurations, robust failover mechanisms, and performance-focused architecture, delivering continuous uptime for cloud-based in-memory data stores.
- [2024 Dragonfly Community Year in Review: A Year of Innovation, Collaboration, and Top Contributors](https://www.dragonflydb.io/blog/2024-recap): Reflecting on a year of innovation, collaboration, top contributors, and milestones like launching Dragonfly Cloud and 26k GitHub stars!
- [Dragonfly Cloud: Now Available in AWS Marketplace](https://www.dragonflydb.io/blog/announcing-dragonfly-cloud-aws-marketplace-launch): Dragonfly Cloud is now available in AWS Marketplace, streamlining billing and integrating seamlessly with your AWS infrastructure. Purchase directly and experience the power of Dragonfly today.
- [Linux Memory Overcommit Modes Explained](https://www.dragonflydb.io/blog/linux-memory-management-overcommit-and-dragonfly): Understand Linux memory overcommit modes and why Dragonfly recommends overcommit=1 for control, efficiency, and reliability. This is just one example of the critical details our experts handle using the same Dragonfly core for our cloud offering, so you don't have to!
- [No Free Tier for You](https://www.dragonflydb.io/blog/no-free-tier-for-you): Why we are launching a free trial program and why we will never have a free tier plan in Dragonfly Cloud.
- [Why is Your In-Memory Data Store Bill so High?](https://www.dragonflydb.io/blog/common-reasons-your-in-memory-data-store-bill-is-so-high): Discover the most common causes of rising Redis/Valkey costs, including over-provisioning, pricing model misalignment, and cluster inefficiencies, along with strategies to address these issues.
- [Dragonfly Cloud Transport Layer Security](https://www.dragonflydb.io/blog/dragonfly-cloud-transport-layer-security): Learn how Dragonfly Cloud secures data in transit with TLS, ensuring reliable, automated encryption for resilient cloud data store communications.
- [Introducing: Dragonfly Cloud Extreme Tier](https://www.dragonflydb.io/blog/introducing-dragonfly-cloud-extreme-tier): Dragonfly Cloud Extreme Tier: built for high-throughput, compute-intensive workloads, offering a scalable, extremely high-performance solution at a lower cost than other platforms.
- [Pulling the Curtain Back on AWS's Price Cut for ElastiCache](https://www.dragonflydb.io/blog/aws-price-cut-for-elasticache): Explore AWS's recent price cut for ElastiCache and why it doesn't address the underlying scaling and performance issues, plus why Dragonfly offers a more efficient alternative.
- [Case Study: Boosting Performance and Cutting Cost with Laravel Queues](https://www.dragonflydb.io/blog/case-study-inspector): Discover how Dragonfly customer Inspector overcame scaling challenges in their Laravel queue management and significantly reduced cloud costs by switching to Dragonfly.
- [Avoiding Common Mistakes & Pitfalls When Scaling Redis](https://www.dragonflydb.io/blog/redis-scaling-mistakes): Learn more about the four most common mistakes developers make when scaling Redis and how to avoid them.
- [Managed Offerings of Data Infrastructure](https://www.dragonflydb.io/blog/managed-offerings-of-data-infrastructure): Let's discuss various managed offerings for data infrastructure, including dedicated, multi-tenancy, BYOC, and serverless, and learn why Dragonfly chose the dedicated model as our first offering.
- [Bitmaps in Dragonfly: Compact Data with Powerful Analytics](https://www.dragonflydb.io/blog/bitmaps-in-dragonfly): Learn how to use Bitmaps for efficient data handling in Dragonfly. Explore key commands, master bit-level operations, and dive into real-world use cases like user retention and feature flags.
- [Case Study: Migrating from Redis to Dragonfly to Scale IoT Infrastructure](https://www.dragonflydb.io/blog/case-study-smart-gps): Discover how our customer, SmartGPS, seamlessly migrated from Redis to Dragonfly Cloud to scale their IoT infrastructure and future-proof their growing ecosystem.
- [How We Use Control Loops to Manage Dragonfly Cloud Datastores](https://www.dragonflydb.io/blog/dragonfly-cloud-control-loops): Learn how we build control loops to simplify datastore management across multi-cloud environments.
- [Cluster Scalability: Redis Gossip vs. Dragonfly Orchestration](https://www.dragonflydb.io/blog/redis-and-dragonfly-cluster-design-comparison): Explore the architectural differences between Redis Cluster and Dragonfly Cluster, comparing gossip-based and control plane orchestrated designs to understand how each scales in distributed systems.
- [Why Does Dragonfly Require Only Half the Infrastructure of Redis?](https://www.dragonflydb.io/blog/how-does-dragonfly-cut-cost): Dragonfly's innovative architecture, data structures, and advanced features can significantly reduce infrastructure needs, delivering substantial cost savings.
- [Multi-Tenancy in Dragonfly: Isolated Data, Unified Performance](https://www.dragonflydb.io/blog/multi-tenancy-in-dragonfly): The multi-tenancy feature enables isolated data stores for multiple applications, ensuring the same performance without key collisions.
- [Dragonfly SSD Data Tiering: Caching All the Way Down](https://www.dragonflydb.io/blog/a-preview-of-dragonfly-ssd-tiering): Dragonfly SSD tiering offers a new level of efficiency for managing data by intelligently moving less-used data to SSD storage while keeping hot data in memory.
- [Scaling Heavy BullMQ Workloads with Dragonfly Cloud](https://www.dragonflydb.io/blog/running-bullmq-with-dragonfly-part-3-cloud): Learn how to efficiently scale BullMQ workloads using Dragonfly Cloud's managed services. Discover setup tips, optimization configuration options, and real-world performance insights.
- [Dragonfly Cloud is Enterprise Ready](https://www.dragonflydb.io/blog/dragonfly-cloud-is-enterprise-ready): Dragonfly Cloud is now enterprise-ready with SOC 2 compliance, RBAC, and ACL features, ensuring top-notch security and scalability for modern cloud workloads.
- [Top 10 Modern Data Infrastructure Companies in 2024 - Part 2](https://www.dragonflydb.io/blog/top-10-modern-data-infrastructure-2024-part-02): Uncover the second half of our top 10 modern data infrastructure companies for 2024, highlighting groundbreaking technologies in real-time processing, analytics, and search solutions.
- [A Preview of Dragonfly Cluster](https://www.dragonflydb.io/blog/a-preview-of-dragonfly-cluster): Dragonfly pushes vertical scalability to its limits. But when that's not enough for your workloads, discover the powerful horizontal scalability of Dragonfly Cluster!
- [Top 10 Modern Data Infrastructure Companies in 2024 - Part 1](https://www.dragonflydb.io/blog/top-10-modern-data-infrastructure-2024-part-01): Unveil the first half of our top 10 modern data infrastructure companies for 2024, showcasing cutting-edge advancements in scalability, speed, caching, and real-time analytics.
- [Celebrating 25,000 Stars & More](https://www.dragonflydb.io/blog/25k-stars): Dragonfly hits 25,000 GitHub stars! Explore our Dragonfly Cloud launch, InfraRed 100 recognition, and the official Dragonfly Community launch as we continue to power in-memory data at scale.
- [Win Tickets to AWS re:Invent and KubeCon North America](https://www.dragonflydb.io/blog/2024-win-tickets-to-aws-reinvent-and-kubecon-north-america): Don't miss your chance to be where the tech world converges. Join our community today and stand a chance to win!
- [Principles of Modern Data Infrastructure](https://www.dragonflydb.io/blog/principles-of-modern-data-infrastructure): Discover the key principles of modern data infrastructure—what we believe are necessary to handle today's demanding data requirements.
- [Dragonfly: The Future-Proof Alternative to Redis](https://www.dragonflydb.io/blog/dragonfly-the-future-proof-alternative-to-redis): Dragonfly is the future-proof alternative to Redis, offering superior performance, cost efficiency, and a forward-thinking licensing strategy.
- [Migrating to Dragonfly Cloud using RedisShake](https://www.dragonflydb.io/blog/migrating-to-dragonfly-cloud-using-redisshake): Learn how to migrate to Dragonfly Cloud using RedisShake, a versatile tool for seamless and efficient in-memory data migration.
- [Introducing: Dragonfly Cloud](https://www.dragonflydb.io/blog/introducing-dragonfly-cloud): Dragonfly Cloud is now available! Get the most performant and cost-efficient in-memory data store in the world up and running in minutes.
- [Building an Interactive Terminal Application with Go & Dragonfly](https://www.dragonflydb.io/blog/building-an-interactive-terminal-app-with-go-and-dragonfly): Learn to build an interactive terminal UI application using Go, BubbleTea, and Dragonfly. Check out our first guest author blog post!
- [Best Practices for Managing In-Memory Data Stores](https://www.dragonflydb.io/blog/best-practices-for-managing-in-memory-data-stores): Let's talk about best practices for snapshots, backups, high availability, scalability, and security to ensure reliable in-memory data infrastructure.
- [Dragonfly Cloud vs. AWS ElastiCache: Product Breakdown](https://www.dragonflydb.io/blog/dragonfly-cloud-vs-elasticache-product-breakdown): Compare the differences between Dragonfly Cloud and AWS ElastiCache, focusing on pricing, performance, scalability, and unique features to optimize your in-memory data store needs.
- [Rueidis with Dragonfly: Auto-Pipelining & Client-Side Caching](https://www.dragonflydb.io/blog/rueidis-client-side-caching): Explore how our new integration with Rueidis enables auto-pipelining, client-side caching, and distributed locking for Go applications.
- [Batch Operations in Dragonfly: Pipelining, Transactions, and Lua Scripting](https://www.dragonflydb.io/blog/batch-operations-in-dragonfly): Explore advanced batch operations in Dragonfly, including pipelining, transactions, and Lua scripting, to enhance performance and data handling in high-throughput applications.
- [Running DocsGPT with Dragonfly: Adding AI to Your Documentation](https://www.dragonflydb.io/blog/running-docsgpt-with-dragonfly): Learn how to integrate DocsGPT with Dragonfly for efficient documentation queries, and see how AI enhances your project documentation.
- [Introducing the Dragonfly Forum: Your New Hub for All Things Dragonfly!](https://www.dragonflydb.io/blog/introducing-the-dragonfly-forum): Discover the new Dragonfly Forum, your go-to place for Dragonfly discussions, technical support, and community collaboration. Join now!
- [Mastering In-Memory Data Costs](https://www.dragonflydb.io/blog/mastering-in-memory-data-costs): Discover how to optimize costs for in-memory data stores like Redis and Dragonfly, focusing on best practices for cloud cost management and FinOps strategies. Learn practical tips for cost efficiency.
- [Redis Interview Questions for DevOps and Platform Engineers](https://www.dragonflydb.io/blog/redis-interview-questions-for-devops-and-platform-engineers): Prepare for your next DevOps or Platform engineering interview. Let's learn and discuss best practices for managing high-performance, reliable Redis systems.
- [Dragonfly and Celery: Powering Financial Transactions](https://www.dragonflydb.io/blog/running-celery-with-dragonfly-blockchain): Learn how Dragonfly and Celery seamlessly integrate to build a financial transaction system based on Ethereum, providing a robust solution for efficient, high-volume data processing.
- [Efficient Context Management in LangChain Chatbots with Dragonfly](https://www.dragonflydb.io/blog/efficient-context-management-in-langchain-with-dragonfly): Explore efficient context management for LangChain OpenAI chatbots with Dragonfly, enhancing performance and user experience through caching techniques.
- [Using Bloom Filters with Dragonfly](https://www.dragonflydb.io/blog/using-bloom-filters-with-dragonfly): Discover Dragonfly’s new native Bloom filter support, providing yet another powerful tool to enhance caching, data management, and system efficiency.
- [Ensuring Atomicity: A Tale of Dragonfly Transactions](https://www.dragonflydb.io/blog/transactions-in-dragonfly): Dive into Dragonfly's transactional framework through a metaphorical journey, uncovering how it maintains atomicity and serializability in a kingdom of data.
- [Redis and Dragonfly Architecture Comparison](https://www.dragonflydb.io/blog/redis-and-dragonfly-architecture-comparison): This blog post provides a comparison of Redis and Dragonfly architectures, highlighting Dragonfly's advanced solutions for overcoming Redis's limitations in performance, scalability, and memory efficiency.
- [Aiven Adopts Dragonfly to Solve Redis Scalability Issues, Sees 700% Performance Boost](https://www.dragonflydb.io/blog/aiven-adopts-dragonfly-to-solve-redis-scalability-issues): We are excited to announce, together with the Aiven team, the general availability of the Aiven for Dragonfly managed in-memory data store service.
- [Dragonfly's New Sorted Set Implementation](https://www.dragonflydb.io/blog/dragonfly-new-sorted-set): This blog post dives into Dragonfly's innovative approach to enhancing the sorted set data type, showcasing a new B+ tree implementation that significantly reduces memory usage by up to 40% and improves performance.
- [Using Dragonfly as a Table Engine for ClickHouse](https://www.dragonflydb.io/blog/using-dragonfly-as-a-table-engine-for-clickhouse): In this blog post, we evaluate using Dragonfly as a ClickHouse table engine, highlighting the seamless integration and exploring both benefits and practical considerations.
- [Relay with Dragonfly: Towards the Next-Gen Caching Infrastructure](https://www.dragonflydb.io/blog/relay-with-dragonfly-towards-the-next-gen-caching-infrastructure): Integrating Dragonfly with Relay enhances PHP applications by significantly boosting caching performance, showcasing scalability, high throughput, and reduced latency for efficient next-gen caching infrastructure.
- [Ascend with ASCII: Join the Dragonfly Logo Design Challenge](https://www.dragonflydb.io/blog/ascend-with-ascii-join-the-dragonfly-logo-design-challenge): We invite you to join us on a journey into the exciting world of ASCII design. We want to hear from our community and encourage you to unleash your creativity in this new ASCII Community Challenge.
- [Measuring Cardinality in the Millions and Billions with Dragonfly](https://www.dragonflydb.io/blog/measuring-cardinality-with-dragonfly): This blog post explores using Dragonfly for measuring cardinality with precision at massive scales. Focusing on `Set` for exact counts and `HyperLogLog` for accurate estimations.
- [Introducing the Dragonfly Quill Program](https://www.dragonflydb.io/blog/introducing-the-dragonfly-quill-program): The Dragonfly Quill Program pays $300 for community-contributed blog posts on diverse topics, fostering knowledge sharing among developers and data enthusiasts, while encouraging interactive engagement and insightful expressions.
- [Scaling Redis without Clustering](https://www.dragonflydb.io/blog/scaling-redis-without-clustering): This blog explores scaling Redis, highlighting the complexities of Redis Cluster and presenting Dragonfly as a simpler, efficient alternative. It offers insights into vertical scaling, operational ease, and Dragonfly's ability to handle large-scale workloads on a single node.
- [Running and Optimizing Sidekiq Workloads with Dragonfly](https://www.dragonflydb.io/blog/running-sidekiq-with-dragonfly): In this blog post, we dive into the journey of running and optimizing Sidekiq workloads with Dragonfly, demonstrating Dragonfly's compatibility and efficiency. This initiative also illustrates our dedication to growing and adapting Dragonfly within the open-source community.
- [Dragonfly Achieves 6.43 Million RPS on AWS 64-Core Instance](https://www.dragonflydb.io/blog/dragonfly-achieves-6-million-rps-on-64-core-graviton3): With the advancements of cutting-edge hardware, Dragonfly reaches 6.43 million ops/sec on a single AWS `c7gn.16xlarge` instance.
- [Scaling Real-Time Leaderboards with Dragonfly](https://www.dragonflydb.io/blog/scaling-real-time-leaderboards-with-dragonfly): Explore how to build dynamic, real-time leaderboards using Dragonfly and PostgreSQL. Learn to effectively manage user scores and data for high-performance, scalable leaderboard systems for gamification features.
- [Dragonfly 2023 in Review and Exciting Glimpses of 2024](https://www.dragonflydb.io/blog/2023-recap): 2023 was marked by advances in features, performance improvements, integrations, cloud-native deployment, and AI capabilities, setting a strong foundation for 2024's ambitious goals for Dragonfly.
- [Using Laravel with Dragonfly](https://www.dragonflydb.io/blog/using-laravel-with-dragonfly-part-01-cache-and-queue): Learn how to leverage Dragonfly to boost the performance and scalability of your Laravel applications. This blog post dives into using Dragonfly as a cache and queue driver for Laravel, exploring its compatibility, low memory usage, efficient snapshotting, and advanced queue management features.
- [What You Need to Know About ElastiCache Serverless](https://www.dragonflydb.io/blog/what-you-need-to-know-about-elasticache-serverless): In the blog post, the emerging trend of serverless solutions is discussed, focusing on AWS ElastiCache Serverless. While acknowledging its innovative approach, our calculation suggests that the pricing model may not be practical for medium to large workloads.
- [Announcing Dragonfly Search](https://www.dragonflydb.io/blog/announcing-dragonfly-search): We are thrilled to announce Dragonfly Search, enabling both vector search and faceted search in our robust and performant in-memory data store.
- [How We Optimized Dragonfly to Get 30x Throughput with BullMQ](https://www.dragonflydb.io/blog/running-bullmq-with-dragonfly-part-2-optimization): In this blog post, we navigate the journey of optimizing Dragonfly for BullMQ, achieving an exceptional 30x throughput increase. This endeavor highlights our deep commitment to the community and demonstrates our dedication to expanding and adapting Dragonfly to the open-source ecosystem.
- [Building E-Commerce Applications with Dragonfly](https://www.dragonflydb.io/blog/building-ecommerce-applications-with-dragonfly): In this blog post, we discover how Dragonfly boosts e-commerce platforms with efficient caching, personalized content, and managing high-traffic events. Learn about Dragonfly's capabilities for ensuring smooth operations during peak times.
- [Announcing Dragonfly Kubernetes Operator General Availability](https://www.dragonflydb.io/blog/announcing-kubernetes-operator-general-availability): We are thrilled to announce the general availability of the Dragonfly Kubernetes Operator.
- [Building a Real-Time Ad Server with Dragonfly](https://www.dragonflydb.io/blog/building-a-real-time-ad-server-with-dragonfly): In this blog post, we build a real-time ad server application using Bun, ElysiaJS, and Dragonfly, showcasing seamless integration and exceptional developer experience. Dive into hands-on examples and enhance your understanding of these cutting-edge technologies.
- [Running BullMQ with Dragonfly](https://www.dragonflydb.io/blog/running-bullmq-with-dragonfly-part-1-announcement): In this post, we explore the integration of Dragonfly as a drop-in replacement for Redis as the backing in-memory store of BullMQ, a robust background job processing library for Node.js.
- [Developing with Dragonfly: Solve Caching Problems](https://www.dragonflydb.io/blog/developing-with-dragonfly-part-02-solve-caching-problems): In the Developing with Dragonfly series of blog posts, we will explore different techniques and best practices for developing applications with Dragonfly. In this blog post, we explore the 3 common caching problems and best practices to mitigate them.
- [Open Source is Dead, Long Live Open Source!](https://www.dragonflydb.io/blog/open-source-is-dead-long-live-open-source): The landscape of open-source software is evolving in order to continue to thrive. Business Source Licenses are necessary for sustained innovation and are being embraced by leading open-source innovators. This post breaks down why Dragonfly decided on BSL from the start.
- [Developing with Dragonfly: Cache-Aside](https://www.dragonflydb.io/blog/developing-with-dragonfly-part-01-cache-aside): In the Developing with Dragonfly series of blog posts, we will explore different techniques and best practices for developing applications with Dragonfly. We start with one of the most common usages: Cache-Aside.
- [Fearlessly Handling BigKeys with Dragonfly](https://www.dragonflydb.io/blog/fearlessly-handling-bigkeys-with-dragonfly): Wrestling with BigKeys is hardly an issue when using Dragonfly, the groundbreaking in-memory data store. You can use BigKeys in Dragonfly if they are necessary to your server applications, fearlessly.
- [Running the Feast Feature Store with Dragonfly](https://www.dragonflydb.io/blog/running-the-feast-feature-store-with-dragonfly): In this blog post, we explore the seamless integration of Dragonfly as a drop-in replacement for Redis in Feast—an acclaimed feature storage and server project widely recognized in the machine learning domain. With just some simple steps, we unveil the outstanding compatibility of Dragonfly as an online store solution for Feast, ensuring a smooth transition without compromising existing functionalities.
- [The Unbearable Lightness of Horizontal Scaling](https://www.dragonflydb.io/blog/the-unbearable-lightness-of-horizontal-scaling): This post explores the limitations of horizontal scaling in terms of cluster reliability, load distribution, and cloud over-commitment. It also outlines design decisions that were made to allow Dragonfly, a drop-in Redis replacement, to scale vertically in order to handle heavy workloads and large data volumes on a single instance.
- [Zero Downtime Migration from Redis to Dragonfly using Redis Sentinel](https://www.dragonflydb.io/blog/migration-from-redis-to-dragonfly-using-sentinel): In this blog post, you will learn how to migrate from Redis to Dragonfly using Redis Sentinel.
- [Monitoring In-Memory Data Stores](https://www.dragonflydb.io/blog/monitoring-in-memory-datastores): This blog post covers monitoring in-memory data stores, focusing on Dragonfly. Learn how to use Prometheus and Grafana to monitor Dragonfly metrics and visualize them on a dashboard. Explore memory consumption, client-side metrics, server metrics, and more.
- [Leveraging the power of Lua scripting with Dragonfly](https://www.dragonflydb.io/blog/leveraging-power-of-lua-scripting): This post explores how Dragonfly improves the Lua scripting experience by solving common issues and introducing new interesting features
- [We’re Ready for You Now: Dragonfly In-Memory DB Now Supports Replication for High Availability](https://www.dragonflydb.io/blog/replication-for-high-availability): Dragonfly, an in-memory database that can be a drop-in Redis replacement, now supports replication for high availability in its version 1.0 release.
- [Migrating from a Redis Cluster to Dragonfly on a single node](https://www.dragonflydb.io/blog/migrating-from-a-redis-cluster-to-a-dragonfly-on-a-single-node): In this blog post, you will learn how to migrate data from a Redis Cluster to a single-node Dragonfly instance.
- [Rate Limiting with Dragonfly](https://www.dragonflydb.io/blog/introducing-a-rate-limiting-api-by-dragonfly): Rate Limiters are used in software development to regulate the rate of executing actions or accessing resources.
- [Announcing the Kubernetes Operator for Dragonfly](https://www.dragonflydb.io/blog/announcing-kubernetes-operator-dragonfly): We are thrilled to announce the latest addition to our in-memory data store - the Kubernetes operator for Dragonfly!
- [Building a Background Processing Pipeline with Dragonfly](https://www.dragonflydb.io/blog/building-a-background-processing-pipeline-with-dragonfly): In this blog post, you will learn how to use Redis Lists to build a background processing pipeline with Dragonfly.
- [Dragonfly Is Production Ready (and we raised $21m)](https://www.dragonflydb.io/blog/dragonfly-production-ready): We are pleased to announce that Dragonfly 1.0, the most performant in-memory datastore for cloud workloads, is now generally available.
- [Top 5 Reasons Why Your Redis Instance Might Fail](https://www.dragonflydb.io/blog/top-5-reasons-why-your-redis-instance-might-fail): In this article, we will explain the main reasons why your Redis instance might fail, and provide advice to avoid this.
- [Redis vs. Dragonfly Scalability and Performance](https://www.dragonflydb.io/blog/scaling-performance-redis-vs-dragonfly): A thorough benchmark comparison of throughput, latency, and memory utilization between Redis and Dragonfly.
- [DragonflyDB 2022 In Review](https://www.dragonflydb.io/blog/2022-recap): In 2022, a new technology and database project, Dragonfly, emerged, alongside the founding of DragonflyDB to shepherd and evolve it.
- [Infrastructure Should Be Boring](https://www.dragonflydb.io/blog/infrastructure-should-be-boring): How we have built a boring infrastructure that everyone is excited about.
- [10k Stars](https://www.dragonflydb.io/blog/10k-stars): Dragonfly crossed the 10K GitHub stars milestone in just 75 days.
- [Dragonfly Cache Design](https://www.dragonflydb.io/blog/dragonfly-cache-design): The design behind Dragonfly cache
- [Announcing Dragonfly](https://www.dragonflydb.io/blog/announcing-dragonfly): We could not have predicted the events of the last days. In a single week, Dragonfly transformed from a dream to reality.
- [Redis Analysis - Part 2: Simplicity](https://www.dragonflydb.io/blog/redis-analysis-part-2-simplicity): What simplicity means to you as a datastore user?
- [Redis Analysis - Part 1: Threading Model](https://www.dragonflydb.io/blog/redis-analysis-part-1-threading-model): Following my previous post, we are going to start with the "hottest potato"—the single-threaded vs. multi-threaded argument.
- [A prelude to analysis of Redis memory-store](https://www.dragonflydb.io/blog/a-prelude-to-analysis-of-redis-memory-store): Will Redis stay competitive in a few years without reinventing itself?


## News
> Latest news, product updates, and industry announcements from the DragonflyDB team.

- [SurrealDB 2.0: Unveiling the Game-Changing Features](https://www.dragonflydb.io/news/surrealdb-2-0): Discover SurrealDB 2.0's game-changing features, from AI integration to enhanced security, offering a future-ready database for enterprise applications.
- [Oracle Teams Up with AWS: What This Means for You](https://www.dragonflydb.io/news/oracle-aws-partnership): Oracle partners with AWS to offer Oracle Database@AWS, boosting cloud flexibility, performance, and cost-effectiveness for enterprises adopting multi-cloud.
- [Valkey 8.0 Launch: What's New and Why It Matters](https://www.dragonflydb.io/news/valkey-8-0): Discover Valkey 8.0's groundbreaking improvements in performance, memory efficiency, and scalability for in-memory NoSQL data storage.
- [Azure's Cosmos DB-LangChain.js Integration Simplifies AI Development](https://www.dragonflydb.io/news/azure-cosmos-db-langchain-js): Microsoft's Azure Cosmos DB integrates with LangChain.js, empowering AI developers with scalable, efficient, and serverless AI app development solutions.
- [Unlocking MongoDB 8.0: Top 5 Game-Changing Features](https://www.dragonflydb.io/news/mongodb-8-top-5-game-changing-features): Explore MongoDB 8.0's top 5 game-changing features, including faster performance, enhanced security, cost-effective scaling, and resilience for developers.
- [PostgreSQL 17 Released: Top 10 Must-Know Features](https://www.dragonflydb.io/news/postgresql-17-top-features): Discover PostgreSQL 17's key features: faster performance, enhanced JSON support, incremental backups, and advanced high availability tools.


## Pages
> Key product, use case, and policy pages for DragonflyDB, including features, industry solutions, and legal information.

- [Redis Cluster Audit: See Your Cost Savings | Dragonfly](https://www.dragonflydb.io/redis-audit): Get a free Redis Cluster Audit from Dragonfly engineering. Your projected cost savings and performance profile, delivered in 48 hours.
- [Caching in Python: Top Methods, Quick Tutorial & Best Practices](https://www.dragonflydb.io/guides/caching-in-python-quick-tutorial-best-practices): Caching in Python is a technique used to store the results of computationally expensive or frequently accessed operations, such as function calls, database queries, or API requests. This allows for faster retrieval of data by avoiding redundant computations or external resource access.
- [Sidekiq-Cron: The Basics and a Quick Tutorial](https://www.dragonflydb.io/guides/sidekiq-cron-basics-and-tutorial): Sidekiq-Cron extends Sidekiq for Ruby, letting you schedule recurring background jobs—similar to UNIX cron—directly within your application.
- [Working with Redis SCAN: Syntax, Examples, Pros & Cons](https://www.dragonflydb.io/guides/redis-scan): The Redis SCAN command iterates over keys in the Redis database without blocking the server.
- [Redis with Golang: Top 3 Packages and a Quick Tutorial](https://www.dragonflydb.io/guides/redis-with-golang-top-packages): Redis is an in-memory data store with rich data types for caching, messaging, and analytics. Go is a scalable language suitable for backend and infra.
- [ElastiCache Supports Valkey: What’s In the Box & Getting Started](https://www.dragonflydb.io/guides/elasticache-valkey): Amazon ElastiCache now supports Valkey, offering a fully managed, high-performance in-memory key-value store as a drop-in replacement for Redis OSS.
- [BullMQ with NestJS: Top 4 Use Cases & Quick Tutorial](https://www.dragonflydb.io/guides/bullmq-nestjs): Master BullMQ with NestJS: Learn key use cases like email queues and image processing, plus a quick start guide for scalable background jobs.
- [Ultimate Guide to Caching in 2026: Strategies and Best Practices](https://www.dragonflydb.io/guides/ultimate-guide-to-caching): Caching is a technique used in computer systems to temporarily store frequently accessed data or computations in a faster, more accessible location.
- [Redis on Azure: Service Options, Pricing, Pros & Cons](https://www.dragonflydb.io/guides/redis-on-azure-service-options-pricing-pros-and-cons): Redis on Azure refers to deploying the Redis in-memory data store as a managed service within the Microsoft Azure cloud platform.
- [In-Memory Database: Pros/Cons, Use Cases & Comparisons](https://www.dragonflydb.io/guides/in-memory-databases): An in-memory database stores data mainly in the main memory of a computer, rather than on disk or other external storage.
- [Beginner’s Redis Tutorial with Cheat Sheet and Quick Start Guide](https://www.dragonflydb.io/guides/beginners-redis-tutorial): Redis is an open-source, in-memory key-value data store, often used as a cache, message broker, or lightweight NoSQL database.
- [Redis FLUSHDB: Quick Guide and Other Ways to Clear Redis Cache](https://www.dragonflydb.io/guides/redis-flushdb-quick-guide): The FLUSHDB command in Redis is used to delete all keys in the currently selected database. This operation is irreversible, so it should be used with caution.
- [Top 13 Caching Strategies to Know in 2026](https://www.dragonflydb.io/guides/caching-strategies-to-know): Caching strategies define how data is stored, retrieved, and managed in a cache to improve application performance. Common approaches include cache-aside, read-through, write-through, write-back, and write-around.
- [Dragonfly BYOC | Data Residency & Cost Savings](https://www.dragonflydb.io/byoc-end-of-year-promo): Deploy fully-managed, high-performance Dragonfly instances directly in the cloud of your choice.
- [Dragonfly BYOC — Secure, Performant, First 3 Months Free](https://www.dragonflydb.io/byoc-promo): Experience Dragonfly BYOC: deploy in your cloud, retain data control, and boost performance. Sign up for a free three-month trial.
- [8 Best Redis Alternatives: Open Source and Fully Managed Databases](https://www.dragonflydb.io/guides/best-redis-alternatives-top-oss-and-managed-solutions): While Redis is a popular in-memory data store, several alternatives can be considered depending on an organization’s needs and priorities. Here are some top Redis alternatives, categorized by their strengths and use cases.
- [Memcached with PHP: Basics and Quick Tutorial](https://www.dragonflydb.io/guides/memcached-with-php-basics-and-quick-tutorial): Memcached is a high-performance, distributed memory caching system that speeds up web apps by caching data and objects in RAM to reduce database load.
- [Using Redis as Vector Database: Basics and Quick Tutorial](https://www.dragonflydb.io/guides/using-redis-as-vector-database-basics-and-quick-tutorial): Redis, traditionally known as a high-performance in-memory data store for caching and real-time analytics, has evolved to support vector data.
- [Redis vs. ElastiCache: Key Differences and How to Choose [2026]](https://www.dragonflydb.io/guides/redis-vs-elasticache-key-differences-and-how-to-choose): Redis and Amazon ElastiCache are both in-memory data stores, but they serve different purposes and have distinct characteristics. Redis is an open-source project that can be self-managed and is known for its flexibility and advanced features, while ElastiCache is a fully managed service within the AWS ecosystem.
- [Using Redis Cluster: Key Features, Tutorial, and Best Practices](https://www.dragonflydb.io/guides/using-redis-cluster-key-features-tutorial-and-best-practices): Redis Cluster is a distributed implementation of Redis, enabling automatic data sharding across multiple nodes.
- [3 Ways to Use Redis as a Queue and a Quick Tutorial to Get Started](https://www.dragonflydb.io/guides/use-redis-as-a-message-queue-and-a-quick-tutorial-to-get-started): Redis offers low-latency performance and in-memory data structures that make it suitable for lightweight queuing tasks.
- [Redis Sentinel: Basics, Tutorial, and Tips for Success](https://www.dragonflydb.io/guides/redis-sentinel-basics-tutorial-and-tips-for-success): Redis Sentinel ensures high availability by monitoring primary/replica instances, detecting failures, and enabling automated failover to keep Redis running.
- [Working with Redis Keys: Syntax, Examples, and Best Practices [2026]](https://www.dragonflydb.io/guides/working-with-redis-keys-syntax-examples-and-best-practices): Learn how to manage Redis keys efficiently through our concise guide covering use cases, code snippets, and best practices.
- [Learning Redis Pipeline: Syntax, Tutorial, and Best Practices](https://www.dragonflydb.io/guides/learning-redis-pipeline-syntax-tutorial-and-best-practices): Redis pipelining boosts performance by letting clients send multiple commands to the server without waiting for each individual response.
- [Google Memorystore: Architecture, Pros/Cons and Best Practices](https://www.dragonflydb.io/guides/google-memorystore-architecture-pros-cons-and-best-practices): Memorystore is a Google Cloud service providing fully managed, high-performance in-memory data storage.
- [Complete Guide to Redis in 2026: Components, Uses, and Alternatives](https://www.dragonflydb.io/guides/complete-guide-to-redis-architecture-use-cases-and-more): Redis is an open-source, in-memory data structure store often used as a database, cache, and message broker.
- [Using Redis Streams: Commands, Sample Application & Best Practices](https://www.dragonflydb.io/guides/using-redis-streams-commands-sample-application-and-best-practices): Redis Streams is a data structure in Redis designed for managing a high-throughput, message-oriented system, often used for event sourcing, messaging queues, or data pipelines.
- [[Answered] What is the difference between Redis cluster mode enabled and disabled?](https://www.dragonflydb.io/guides/how-to-query-redis): This page answers the following question: What is the difference between Redis cluster mode enabled and disabled?
- [[Answered] What is the difference between Redis cluster mode enabled and disabled?](https://www.dragonflydb.io/guides/redis-eviction-vs-ttl): This page answers the following question: What is the difference between Redis cluster mode enabled and disabled?
- [[Answered] What is the difference between Redis cluster mode enabled and disabled?](https://www.dragonflydb.io/guides/redis-cluster-mode-enabled-vs-disabled): This page answers the following question: What is the difference between Redis cluster mode enabled and disabled?
- [[Answered] How does BullMQ interact with Redis?](https://www.dragonflydb.io/guides/bullmq-redis-interaction): This page answers the following question: How does BullMQ interact with Redis?
- [[Answered] How can you set global concurrency in BullMQ?](https://www.dragonflydb.io/guides/setting-global-concurrency-bullmq): This page answers the following question: How can you set global concurrency in BullMQ?
- [[Answered] What are the differences between BullMQ and Kafka?](https://www.dragonflydb.io/guides/bullmq-vs-kafka): This page answers the following question: What are the differences between BullMQ and Kafka?
- [[Answered] How do you implement horizontal scaling in Redis?](https://www.dragonflydb.io/guides/how-to-implement-horizontal-scaling-in-redis): This page answers the following question: How do you implement horizontal scaling in Redis?
- [[Answered] How can I scale Memcached in AWS ElastiCache?](https://www.dragonflydb.io/guides/how-to-scale-memcached-in-aws-elasticache): This page answers the following question: How can I scale Memcached in AWS ElastiCache?
- [[Answered] How can you configure Redis to serve as a persistent cache?](https://www.dragonflydb.io/guides/how-to-configure-redis-as-persistent-cache): This page answers the following question: How can you configure Redis to serve as a persistent cache?
- [[Answered] What are some examples of open-source in-memory databases?](https://www.dragonflydb.io/guides/examples-of-open-source-in-memory-databases): This page answers the following question: What are some examples of open-source in-memory databases?
- [[Answered] How can you implement an in-memory cache for DynamoDB?](https://www.dragonflydb.io/guides/how-to-implement-in-memory-cache-for-dynamodb): This page answers the following question: How can you implement an in-memory cache for DynamoDB?
- [[Answered] How do you backup data in AWS ElastiCache Redis?](https://www.dragonflydb.io/guides/how-to-backup-data-in-aws-elasticache-redis): This page answers the following question: How do you backup data in AWS ElastiCache Redis?
- [[Answered] What are the differences in pricing between Amazon ElastiCache and DAX?](https://www.dragonflydb.io/guides/elasticache-vs-dax-pricing): This page answers the following question: What are the differences in pricing between Amazon ElastiCache and DAX?
- [[Answered] How to Clear Redis Database?](https://www.dragonflydb.io/guides/how-to-clear-redis-database): This page answers the following question: How to Clear Redis Database?
- [[Answered] How does AWS ElastiCache work?](https://www.dragonflydb.io/guides/how-does-aws-elasticache-work): This page answers the following question: How does AWS ElastiCache work?
- [Redis Hashes and Related Commands: 14 Examples & 7 Pro Tips](https://www.dragonflydb.io/guides/redis-hashes-examples-and-pro-tips): Learn Redis hashes and related commands through our concise guide covering use cases, code snippets, and best practices.
- [Redis Persistence: 3 Technical Approaches for Durability](https://www.dragonflydb.io/guides/redis-persistence-3-technical-approaches): Redis offers two main persistence options—RDB (Redis Database) snapshots and AOF (Append-Only File)—as well as a hybrid approach that combines both.
- [Memcached Alternatives Compared: Top 6 Solutions in 2026](https://www.dragonflydb.io/guides/memcached-alternatives-compared-top-solutions): Memcached is minimal by design, favoring speed and simplicity. Its limits push some developers to choose more advanced caching or data stores.
- [[Answered] How to start Redis server?](https://www.dragonflydb.io/guides/how-to-start-redis-server): This page answers the following question: How to start Redis server?
- [The Ultimate Guide to Deploying and Managing Redis on Kubernetes](https://www.dragonflydb.io/guides/redis-kubernetes): Master Redis on Kubernetes with our ultimate guide: deploy, manage, and scale with ease.
- [Memcached GUI Showdown - The Best Clients for 2024](https://www.dragonflydb.io/guides/memcached-gui): Explore the top Memcached GUI clients of 2024 for Mac, Linux, and Windows. Discover free, open-source & paid tools for robust Memcached admin panel management.
- [Redis GUI Showdown - The Best Clients for 2024](https://www.dragonflydb.io/guides/redis-gui): Explore the top Redis GUI clients of 2024 for Mac, Linux, and Windows. Discover free, open-source & paid tools for robust Redis admin panel management.
- [Redis and Dragonfly Architecture Comparison](https://www.dragonflydb.io/guides/redis-and-dragonfly-architecture-comparison): Comparing Redis and Dragonfly architectures, highlighting Dragonfly's advanced solutions for overcoming Redis's limitations in performance and scalability.
- [Upstash: Solution Overview, Pros/Cons, and Alternatives](https://www.dragonflydb.io/guides/upstash-solution-overview-pros-cons-and-alternatives): Upstash is a serverless data platform for developers building real-time and event-driven applications. It provides managed services like Redis.
- [Redis Sharding: How It Works, Pros/Cons & Best Practices [2026]](https://www.dragonflydb.io/guides/redis-sharding-how-it-works-pros-cons-best-practices): Redis sharding is a technique used to split and distribute data across multiple Redis instances. Each instance (or shard) holds a subset of the total dataset.
- [In-Memory Cache: How It Works and Top 7 Solutions [2026]](https://www.dragonflydb.io/guides/in-memory-cache-how-it-works-and-top-solutions): An in-memory cache is a data storage layer that mainly utilizes the primary memory (RAM) of a system.
- [Mastering Redis Cache: From Basic to Advanced [2026 Guide]](https://www.dragonflydb.io/guides/mastering-redis-cache-from-basic-to-advanced): Redis cache demystified: how it works, why it matters, and ways to implement it for immediate performance gains on your site and app.
- [Amazon ElastiCache: Pros/Cons, Tutorial, and Alternatives in 2026](https://www.dragonflydb.io/guides/amazon-elasticache-pros-cons-tutorial-and-alternatives): Amazon ElastiCache is a managed in-memory data store by AWS that supports Valkey, Redis, and Memcached for fast, flexible caching and data processing.
- [Top 7 Open Source Redis Desktop Managers & How to Choose](https://www.dragonflydb.io/guides/top-open-source-redis-desktop-managers): Graphic user interface (GUI) applications for Redis that let users interact with Redis databases visually, instead of using command-line tools.
- [Memcached - The Ultimate Beginner's Guide](https://www.dragonflydb.io/guides/memcached): Memcached 101: The ultimate beginner's guide that explains what Memcached is, how it works, and how to get started.
- [Redis - The Ultimate Beginner's Guide](https://www.dragonflydb.io/guides/redis): Redis 101: The ultimate beginner's guide that explains what Redis is, how it works, and how to get started.
- [A Deep Dive into ElastiCache Node & Instance Types](https://www.dragonflydb.io/guides/elasticache-node-instance-types): Explore ElastiCache node & instance types: compare performance & features for Memcached & Redis to optimize your AWS cache setup.
- [ElastiCache 101 - A Comprehensive Guide for Beginners](https://www.dragonflydb.io/guides/elasticache): Learn the ins and outs of ElastiCache with our comprehensive guide for beginners.
- [Master ElastiCache Cost Optimization - The Ultimate Guide](https://www.dragonflydb.io/guides/elasticache-cost-optimization): Cut AWS costs with effective ElastiCache cost optimization. Learn more in our detailed guide.
- [Redis Best Practices - Expert Tips for High Performance](https://www.dragonflydb.io/guides/redis-best-practices): Boost your Redis game with our top strategies. Master Redis best practices for unmatched performance.
- [Redis Memory & Performance Optimization - Everything You Need to Know](https://www.dragonflydb.io/guides/redis-memory-and-performance-optimization): Master Redis memory optimization and performance tuning. Boost your database efficiency and speed with our comprehensive guide to Redis performance.
- [ElastiCache Pricing - Everything You Need to Know](https://www.dragonflydb.io/guides/elasticache-pricing): Master Amazon ElastiCache pricing with our comprehensive guide. Find out how to get the most from ElastiCache without breaking the bank.
- [Azure Cache for Redis Pricing - The Ultimate Guide](https://www.dragonflydb.io/guides/azure-redis-pricing): Dive deep into Azure Cache for Redis pricing - a comprehensive guide to understanding and optimizing Azure Redis costs.
- [DigitalOcean Redis Pricing - The Ultimate Guide](https://www.dragonflydb.io/guides/digitalocean-redis-pricing): Decipher DigitalOcean Redis Pricing with our comprehensive analysis. Compare packages and learn how to save on your cloud expenses.
- [Understanding Heroku Redis Pricing - In-Depth Guide](https://www.dragonflydb.io/guides/heroku-redis-pricing): Decipher Heroku Redis Pricing with our comprehensive analysis. Compare packages and learn how to save on your cloud expenses.
- [Amazon MemoryDB Pricing - Everything You Need to Know](https://www.dragonflydb.io/guides/memorydb-pricing): Dive into MemoryDB pricing with our comprehensive guide. Save on costs and discover best practices for MemoryDB cost optimization.
- [Google Memorystore Redis Pricing - Everything You Need To Know](https://www.dragonflydb.io/guides/google-cloud-redis-pricing): Your essential guide to understanding Google Cloud Memorystore for Redis pricing. Optimize Google Cloud Redis costs with our comprehensive review.
- [Database Caching - Everything You Need To Know](https://www.dragonflydb.io/guides/database-caching): Looking to implement a database cache? This in-depth guide covers database caching from the basics to advanced caching strategies/best practices and beyond.
- [Master Redis Cache - Everything You Need To Know](https://www.dragonflydb.io/guides/redis-cache): Redis Cache demystified: how it works, why it matters, and ways to implement it for immediate performance gains on your site and app.
- [Redis to Valkey - Ultimate Migration Guide](https://www.dragonflydb.io/guides/redis-to-valkey): Discover how to transition from Redis to Valkey with this comprehensive migration guide. Get expert tips for a smooth and efficient migration process.
- [Introduction to Valkey (The OSS Redis Fork)](https://www.dragonflydb.io/guides/valkey): Discover Valkey, the powerful OSS Redis fork with advanced features for scalable, high-performance data management. Explore its key benefits and architecture.
- [Valkey Installation + Setup Guide](https://www.dragonflydb.io/guides/valkey-installation-setup): Learn how to install and set up Valkey, the Redis Fork, with Kubernetes, Docker, and Operators for efficient cluster management. Perfect for getting started!
- [ElastiCache Best Practices for Peak Performance](https://www.dragonflydb.io/guides/elasticache-best-practices): Learn top ElastiCache best practices to boost system performance, enhance security, and reduce cost + downtime in your distributed cloud architecture.
- [Message Broker vs Message Queue - Ultimate Comparison](https://www.dragonflydb.io/guides/message-broker-vs-message-queue): Message broker vs message queue: Learn their unique functionalities, differences, and which suits your business needs more effectively.
- [Redis Sorted Sets: 9+ Proven Best Practices](https://www.dragonflydb.io/guides/redis-sorted-sets-best-practices): Learn essential Redis Sorted Sets best practices to enhance performance, optimize memory, and handle large datasets efficiently in your applications.
- [Memcached Best Practices - The Ultimate Guide](https://www.dragonflydb.io/guides/memcached-best-practices): Learn top Memcached best practices to boost performance, reduce latency, and streamline your caching setup.
- [Google Cloud Memorystore - Proven Best Practices](https://www.dragonflydb.io/guides/gcp-memorystore-best-practices): Discover proven Google Memorystore best practices to achieve higher cache efficiency, reduced latency, and optimized cloud resources.
- [Azure Cache Best Practices: The Ultimate Guide](https://www.dragonflydb.io/guides/azure-cache-best-practices): Discover Azure Cache best practices to boost performance, scale apps, and implement Azure security and policy best practices.
- [Self-Hosted Redis vs ElastiCache - The Ultimate Comparison](https://www.dragonflydb.io/guides/redis-vs-elasticache): Compare self-hosted Redis vs AWS ElastiCache (Redis) in this ultimate guide. Explore key features, management, performance, pricing, & more.
- [ElastiCache vs MemoryDB - The Ultimate Comparison](https://www.dragonflydb.io/guides/elasticache-vs-memorydb): Explore the ultimate comparison of ElastiCache vs MemoryDB. Explore features, performance, pricing, and use cases to decide.
- [Redis vs MongoDB - The Ultimate Comparison](https://www.dragonflydb.io/guides/redis-vs-mongodb): Explore the ultimate comparison of Redis vs MongoDB. Discover differences in data models, performance, scalability, querying, & more to find your best fit.
- [Redis Default Port, How to Change It & 4 Alternative Port Options](https://www.dragonflydb.io/guides/what-is-the-default-port-used-by-redis): By default, Redis listens on TCP port 6379. This default can be changed through the port directive in the Redis configuration file (redis.conf).
- [Understanding Redis Performance and 6 Ways to Boost Performance](https://www.dragonflydb.io/guides/how-fast-is-redis): Redis uses a memory-first architecture, combined with a simple protocol and optimized binary encoding, which lets it achieve more than 100k queries per second.
- [Running Redis in Docker: A Practical Guide](https://www.dragonflydb.io/guides/running-redis-in-docker-a-practical-guide): Running Redis in a Docker container provides several advantages that enhance both development and production workflows.
- [Redis vs. Memcached: 7 Key Differences and How to Choose [2026]](https://www.dragonflydb.io/guides/redis-vs-memcached-7-key-differences-and-how-to-choose): Redis is an open-source in-memory cache, database, and message broker. Memcached is a high-performance memory cache speeding up web applications.
- [Redis Connection Error: NOAUTH Authentication Required](https://www.dragonflydb.io/guides/redis-connection-error-noauth-authentication-required): Learn more about detailed solutions for the 'Redis Connection Error: NOAUTH Authentication Required' error.
- [What You Need to Know About ElastiCache Serverless](https://www.dragonflydb.io/guides/what-you-need-to-know-about-elasticache-serverless): While acknowledging its innovative approach, our calculation suggests that the pricing model of AWS ElastiCache Serverless may not be practical for medium to large workloads.
- [Memcached set in Python (Detailed Guide w/ Code Examples)](https://www.dragonflydb.io/guides/python-memcached-set): In this guide, we will learn about use cases of the set command of Memcached with hands-on code examples in Python.
- [Redis HSET in Golang (Detailed Guide w/ Code Examples)](https://www.dragonflydb.io/guides/golang-redis-hset): In this guide, we will learn about use cases of the HSET command of Redis with hands-on code examples in Go.
- [Redis Get All Keys in Python (Detailed Guide w/ Code Examples)](https://www.dragonflydb.io/guides/redis-get-all-keys-in-python): In this guide, we will learn about how to read all keys in Redis with hands-on code examples in Python.
- [Question: How does Redis handle stream scalability?](https://www.dragonflydb.io/guides/redis-streams-scalability): In this guide, we will explore how Redis handles stream scalability by demonstrating concepts and hands-on code examples.
- [How Can I Create and Restore a Backup in Redis?](https://www.dragonflydb.io/guides/how-to-create-and-restore-backup-in-redis): In this guide, we will explore how to create and restore a backup in Redis by demonstrating concepts and hands-on code examples.
- [Redis vs DynamoDB vs ElastiCache vs Dragonfly Cloud: Head to Head [2026]](https://www.dragonflydb.io/guides/when-to-use-elasticache-vs-dynamodb): Comparing the open source Redis to managed services from Amazon—DynamoDB and Elasticache—and Dragonfly Cloud, a managed high-performance Redis alternative.
- [Valkey: Key Features, Pros/Cons, and Comparison with Redis [2026]](https://www.dragonflydb.io/guides/valkey-key-features-pros-cons-and-comparison-with-redis): Valkey is a lightweight, open-source Redis alternative optimized for high-performance caching and in-memory data storage.
- [What Is Memcached? Use Cases, Pros/Cons, and Examples [2026]](https://www.dragonflydb.io/guides/what-is-memcached-use-cases-pros-cons-and-examples): Memcached is an open-source, in-memory key-value store used to cache data and objects in RAM to reduce the need to read from external data sources.
- [What Causes Redis Latency Issues & 7 Ways to Solve Them](https://www.dragonflydb.io/guides/what-causes-redis-latency-issues-and-how-to-solve-them): This page answers the following question: What causes Redis latency spikes and how can they be mitigated?
- [Redis Pub/Sub: Use Cases, Tutorial & Alternatives](https://www.dragonflydb.io/guides/redis-pubsub-use-cases-tutorial-alternatives): Redis Pub/Sub is a messaging feature in Redis that allows applications to send and receive messages in real time using a publish/subscribe pattern.
- [[Answered] What is the performance of Redis MGET command?](https://www.dragonflydb.io/guides/redis-mget-performance): This page answers the following question: What is the performance of Redis MGET command?
- [[Answered] What is the difference between BullMQ and RabbitMQ?](https://www.dragonflydb.io/guides/bullmq-vs-rabbitmq): This page answers the following question: What is the difference between BullMQ and RabbitMQ?
- [[Answered] What is ElastiCache cluster?](https://www.dragonflydb.io/guides/what-is-elasticache-cluster): This page answers the following question: What is ElastiCache cluster?
- [[python] Redis HGETALL in Python](https://www.dragonflydb.io/guides/python-redis-hgetall): Learn about hashes in python. This guide covers: Redis HGETALL in Python.
- [[php] PHP Memcached Set](https://www.dragonflydb.io/guides/php-memcached-set): Learn about setting data in php. This guide covers: PHP Memcached Set.
- [Valkey vs Redis - Ultimate Comparison Guide [2025]](https://www.dragonflydb.io/guides/valkey-vs-redis): Compare Valkey and Redis in this ultimate guide. Explore licensing, key features, performance, and scalability to choose the best fit for your needs.
- [9 Redis API-Compatible Alternatives 2025](https://www.dragonflydb.io/guides/redis-alternatives): Explore the top Redis API-compatible alternatives that can boost your app's efficiency and scalability.
- [Top 18 Managed Redis/Valkey Services Compared 2025](https://www.dragonflydb.io/guides/managed-redis): Explore the top Managed Redis services! Compare pricing, strengths/weaknesses and more so you can choose the right provider.
- [Dragonfly Cloud Enterprise: Engineered for Massive Scale](https://www.dragonflydb.io/enterprise): Deploy the fastest, most efficient in-memory data store in the world to the region of your choice. Boost performance and cut costs by 30% or more.
- [Top 26 Key-Value Databases Compared](https://www.dragonflydb.io/guides/key-value-databases): Explore the top key-value databases! Compare strengths/weaknesses and more so you can choose the right key-value database for your next project.
- [Top In-Memory Databases Compared](https://www.dragonflydb.io/guides/in-memory-databases-old): Explore the top in-memory databases! Compare strengths/weaknesses and more so you can choose the right in-memory database for your next project.
- [In-Memory Databases - Ultimate Guide w/ Comparison Table](https://www.dragonflydb.io/guides/in-memory-database): Read our comprehensive guide and comparison of top in-memory data stores.
- [BullMQ - Ultimate Guide + Getting Started Tutorial [2025]](https://www.dragonflydb.io/guides/bullmq):  Everything you need to know to understand and get started with BullMQ. Learn about BullMQ's power in managing jobs, events & queues with our detailed guide.
- [[golang] Golang Memcached Get](https://www.dragonflydb.io/guides/golang-memcached-get): Learn about retrieving data in golang. This guide covers: Golang Memcached Get.
- [Dragonfly | Sorted Sets for Rankings & Priority Queues](https://www.dragonflydb.io/use-case/leaderboard): Outperform Redis with 4x higher throughput and 40% less memory usage. Dragonfly’s sorted sets deliver sub-ms latency without clustering complexity.
- [Dragonfly | High-Throughput Queues for Concurrent Job Systems](https://www.dragonflydb.io/use-case/message-queue): Run concurrent job queues with sub-ms latency and 25x Redis throughput, so your real-time applications and AI/ML features stay fast, stable, and scalable.
- [DragonflyDB | Low-latency, fault-tolerant feature store](https://www.dragonflydb.io/use-case/feature-store): Serve real-time ML features in under 1ms with DragonflyDB. Boost model performance, eliminate crashes, and reduce infrastructure costs by up to 80%.
- [Dragonfly | Memory-efficient, high-performance caching](https://www.dragonflydb.io/use-case/caching): Accelerate AI/ML and real-time applications with Dragonfly for low-latency, sub-ms caching. Achieve 25x higher throughput and reduce infrastructure costs by up to 80%.
- [DragonflyDB for Media & Entertainment | Scale Real-Time Content Seamlessly](https://www.dragonflydb.io/industries/media-and-entertainment): Stream, play, and personalize faster with DragonflyDB — a drop-in Redis replacement built for real-time media performance, low latency, and effortless scale. No tuning required.
- [DragonflyDB for Financial Services | Scale Real-Time Transactions and Insights](https://www.dragonflydb.io/industries/financial-services): Deliver real-time banking, trading, and fraud detection with DragonflyDB—sub-ms caching, Redis compatibility, and vertical scale without the complexity.
- [Dragonfly for Adtech | Real-Time Bidding at Scale](https://www.dragonflydb.io/industries/adtech): Power ultra-low-latency ad delivery and bidding with Dragonfly — a high-performance, memory-efficient Redis alternative built for real-time Adtech.
- [Dragonfly Cloud: A Smarter, Scalable Redis Replacement](https://www.dragonflydb.io/outgrowing-redis): Deploy the fastest, most efficient in-memory data store in the world to the region of your choice. Boost performance and cut costs by up to 80%
- [Get 30% Percent Off Your Current In-Memory Cloud Service](https://www.dragonflydb.io/30-percent-off): Deploy the fastest, most efficient in-memory data store in the world to the region of your choice. Boost performance and cut costs by 30% or more.
- [Dragonfly Cloud is available in the GCP Marketplace](https://www.dragonflydb.io/gcp): Deploy the fastest, most efficient in-memory data store on the market to the GCP region of your choice. Boost performance by 25X and cut costs by 80%.
- [A comparison of Dragonfly vs. Redis.](https://www.dragonflydb.io/dragonfly-vs-redis): The Redis-compatible in-memory data store that delivers 25× better performance per node. Drop-in replacement. No code changes. Try Dragonfly free.
- [Dragonfly Cloud is available in the AWS Marketplace](https://www.dragonflydb.io/aws): Deploy the fastest, most efficient in-memory data store on the market to the AWS region of your choice. Boost performance by 25X and cut costs by 80%.
- [Dragonfly - Data Processing Agreement](https://www.dragonflydb.io/dpa): Learn about our DPA (Data Processing Agreement). Read our DPA Policy to understand how we handle your data and maintain your trust.
- [Dragonfly - Terms of Use](https://www.dragonflydb.io/terms): Read the terms of use for Dragonfly and learn about the guidelines and restrictions that apply to the use of our software.
- [Dragonfly Cloud SLA](https://www.dragonflydb.io/sla): Dragonfly Cloud Service Legal Agreement (SLA). This document outlines the terms and conditions of Dragonfly Cloud's service level agreement.
- [Dragonfly - Privacy Policy](https://www.dragonflydb.io/privacy): Learn how Dragonfly protects your privacy and personal information. Read our privacy policy to understand how we handle your data and maintain your trust.
- [Dragonfly - Cookie Policy](https://www.dragonflydb.io/cookie-policy): Learn which cookies our website uses. Read our cookie policy to understand how we handle your data and maintain your trust.
- [Dragonfly Cloud Terms of Service](https://www.dragonflydb.io/cloud-terms): Read the terms of service for Dragonfly Cloud to learn about the guidelines and restrictions that apply to the use of our service.
- [Essential SQLite Best Practices (for Efficient DB Design)](https://www.dragonflydb.io/databases/best-practices/sqlite): Discover essential SQLite best practices to optimize database design for efficiency, performance, and streamlined data management in your applications.
- [What is Data Matching? (A Comprehensive Guide)](https://www.dragonflydb.io/databases/glossary/data-matching): Learn what data matching is, its benefits, techniques, and best practices in our comprehensive guide. Improve data quality and decision-making today!
- [MariaDB Best Practices for High Performance](https://www.dragonflydb.io/databases/best-practices/mariadb): Learn essential MariaDB best practices to maximize performance, improve query speed, and optimize resource usage for high-demand applications.
- [Best MySQL Best Practices to Optimize Performance](https://www.dragonflydb.io/databases/best-practices/mysql): Explore top MySQL best practices to boost performance, enhance query efficiency, and improve database stability for faster, more reliable applications.
- [What is Data Profiling? (A Comprehensive Guide)](https://www.dragonflydb.io/databases/glossary/data-profiling): Discover data profiling, its methods, benefits, and tools in our comprehensive guide. Enhance data quality and gain valuable insights for your business!
- [Operational Data Store (ODS): What It Is and How It Works](https://www.dragonflydb.io/databases/glossary/operational-data-store): Learn what an Operational Data Store (ODS) is, its purpose, and how it functions to streamline real-time data integration and reporting.
- [MongoDB Best Practices: The Ultimate Guide](https://www.dragonflydb.io/databases/best-practices/mongodb): Master MongoDB with essential best practices for performance, security, and scalability in this comprehensive guide.
- [What is a Flat Database File? (Ultimate Beginner's Guide)](https://www.dragonflydb.io/databases/glossary/flat-database-file): Discover what a flat database file is, its structure, benefits, and common uses in data management with this beginner-friendly guide.
- [Best Practices for Optimizing Snowflake Performance](https://www.dragonflydb.io/databases/best-practices/snowflake): Unlock top strategies to optimize Snowflake performance, improve query speed, and boost efficiency with these best practices.
- [What is a Data Warehouse? (Ultimate Intro Guide)](https://www.dragonflydb.io/databases/glossary/data-warehouse): Learn what a data warehouse is, how it works, and why it's essential for data storage and analysis in this ultimate introductory guide.
- [CRM Database Schema Example (A Practical Guide)](https://www.dragonflydb.io/databases/schema/crm): Explore a clear CRM database schema example to optimize your customer management system for improved performance and organization.
- [Designing a Blog Database Schema (Ultimate Guide)](https://www.dragonflydb.io/databases/schema/blog): Learn how to design a blog database schema with this detailed step-by-step guide and example. Optimize your blog data structure easily.
- [Redis vs Hazelcast - The Ultimate Comparison](https://www.dragonflydb.io/databases/compare/redis-vs-hazelcast): Compare Redis vs Hazelcast for caching and distributed data grids. Discover their differences in performance, scalability, and best use cases.
- [Snowflake vs Databricks - The Ultimate Comparison](https://www.dragonflydb.io/databases/compare/snowflake-vs-databricks): Compare Snowflake vs Databricks for data warehousing and big data. Discover their differences in scalability, performance, and machine learning capabilities.
- [3 Practical MongoDB Schema Examples (for 2024 & Beyond)](https://www.dragonflydb.io/databases/schema/mongodb): Discover practical MongoDB schema examples and best practices to design flexible and scalable database schemas for optimal performance.
- [6 Real-World Redis Schema Examples (for 2024 & Beyond)](https://www.dragonflydb.io/databases/schema/redis): Discover 6 practical Redis schema examples and learn best practices for designing efficient, scalable data models in Redis.
- [4 Real-World SQL Database Schema Examples](https://www.dragonflydb.io/databases/schema/sql): Get inspired with practical SQL database schema examples to streamline your data architecture and boost performance.
- [Redis vs etcd - The Ultimate Comparison](https://www.dragonflydb.io/databases/compare/redis-vs-etcd): Compare Redis vs etcd in this guide. Explore key differences in use cases, data models, consistency, performance, and more to make the best choice.
- [Redis vs Kafka - The Ultimate Comparison](https://www.dragonflydb.io/databases/compare/redis-vs-kafka): Discover the key differences between Redis and Kafka in our ultimate comparison. Learn which data processing tool suits your needs best!
- [Redis vs PostgreSQL - The Ultimate Comparison](https://www.dragonflydb.io/databases/compare/mongodb-vs-postgresql): Discover the key differences between MongoDB and PostgreSQL. Learn which database system best suits your project's needs and architecture.


## Events
> Upcoming and past events, webinars, and community gatherings featuring DragonflyDB and the broader data infrastructure ecosystem.

- [Dragonfly Cloud: Intro & Live Demo [+Q&A] ](https://www.dragonflydb.io/events/dragonfly-cloud-intro--live-demo-qa-): See Dragonfly Cloud in action in 25 minutes. Live demo, real results, and open Q&A. 
- [Meet Dragonfly at Current, London](https://www.dragonflydb.io/events/current-london): Dragonfly is sponsoring Current London 2026. Visit our booth to explore real-time data infrastructure for intelligent workloads.


- [Meet Dragonfly at Google Cloud Next 2026 — Booth 3311  54](https://www.dragonflydb.io/events/google-cloud-next): Dragonfly is sponsoring Google Cloud Next 2026. Visit booth #3311 to explore real-time data infrastructure for intelligent workloads.


- [Dragonfly at AWS re:Invent 2025](https://www.dragonflydb.io/events/aws-reinvent-2025): Catch Dragonfly at AWS re:Invent 2025 in Las Vegas. See how we’re redefining in-memory data stores built for scale. Stop by our booth to learn more.
- [Meet Dragonfly at AWS Summit Bengaluru, April 2026](https://www.dragonflydb.io/events/aws-summit-bengaluru): Dragonfly is sponsoring AWS Summit Bengaluru 2026. Visit our booth to see Redis-compatible in-memory data with 80% cost savings and sub-ms latency.
- [ML & AI Ops @ Scale - SF Meetup](https://www.dragonflydb.io/events/ml--ai-ops--scale---sf-meetup): Dragonfly is hosting a casual meetup in San Francisco for anyone working on (or curious about) ML & AI infrastructure and real-time systems on April 8
- [[Video] Scaling Machine Learning Feature Stores with Dragonfly](https://www.dragonflydb.io/events/scaling-machine-learning-feature-stores-with-dragonfly-02-2026): Learn how Dragonfly’s architecture handles the explosive growth, low-latency retrieval, and concurrent access needs of modern AI/ML and data teams.
- [Introduction to Dragonfly Cloud (December, 2025)](https://www.dragonflydb.io/events/introduction-to-dragonfly-cloud-01-2026): Join us for an architectural overview, benchmark comparisons, use cases, and a product demo of Dragonfly Cloud
- [[Video] Migrating Redis to Dragonfly: Zero Downtime, Maximum Power](https://www.dragonflydb.io/events/migrating-redis-to-dragonfly-zero-downtime-maximum-power-11-2025): Learn the step-by-step process for migrating from Redis (or Valkey) to Dragonfly using RedisShake for a smooth, zero-downtime transition.
- [[Video] Introduction to Dragonfly Cloud (December, 2025)](https://www.dragonflydb.io/events/introduction-to-dragonfly-cloud-12-2025): Join us for an architectural overview, benchmark comparisons, use cases, and a product demo of Dragonfly Cloud
- [[Video] Introduction to Dragonfly Cloud (October, 2025)](https://www.dragonflydb.io/events/introduction-to-dragonfly-cloud-10-2025): Join us for an architectural overview, benchmark comparisons, use cases, and a product demo of Dragonfly Cloud.
- [[Video] In-Memory Data Reimagined](https://www.dragonflydb.io/events/in-memory-data-reimagined-10-2025): Join Corey Quinn with Dragonfly CEO and co-founder Oded Poncz for a candid deep dive into how two ex-Googlers rebuilt Redis from the ground up.
- [Dragonfly at AWS re:Invent 2025](https://www.dragonflydb.io/events/aws-reinvent-2025): Catch Dragonfly at AWS re:Invent 2025 in Las Vegas. See how we’re redefining in-memory data stores built for scale. Stop by our booth to learn more.
- [Dragonfly at KubeCon Atlanta 2025](https://www.dragonflydb.io/events/kubecon-atlanta-2025): Meet Dragonfly at KubeCon + CloudNativeCon North America in Atlanta. See how we’re rethinking in-memory data at scale. Visit our booth to learn more.
- [Dragonfly at TiDB SCaiLE 2025](https://www.dragonflydb.io/events/tidb-scaile-2025): We're excited to be sponsoring TiDB SCaiLE Summit, where builders and operators come together to share what it takes to run data at serious scale.
- [[Video] Modern Data Infrastructure Summit (2025, San Francisco)](https://www.dragonflydb.io/events/modern-data-infrastructure-summit-2025): Build infra that can handle AI, ML, and real-time workloads at scale. Join us at the MDI Summit to learn the technologies powering the most demanding workloads.
- [[Video] 25× More Performant than Redis: Dragonfly Deep Dive](https://www.dragonflydb.io/events/25-08-12-dragonfly-deep-dive): Join Yan Cui in conversation with Roman Gershman, CTO and co-founder of Dragonfly, the drop-in Redis replacement built to scale effortlessly in modern cloud environments.
- [[Video] A Comprehensive Intro to Dragonfly Cloud Data Stores](https://www.dragonflydb.io/events/2025-03-27-introduction-to-dragonfly-cloud): Learn about the cutting-edge capabilities of Dragonfly Cloud, the ultimate Redis replacement designed for heavy data workloads.
- [Why is ElastiCache so expensive? How to cut costs by 80%.](https://www.dragonflydb.io/events/2025-05-14-why-is-elasticache-so-expensive): Learn why Redis-based solutions like ElastiCache are expensive and how Dragonfly can help you dramatically reduce costs while improving performance.
- [[Video] Introducing Dragonfly Swarm: The Future of Scaling](https://www.dragonflydb.io/events/2025-03-13-introducing-dragonfly-swarm): Learn how it scales both vertically and horizontally to deliver even greater performance and flexibility for the most demanding use cases.
- [Current Bengaluru](https://www.dragonflydb.io/events/2025-03-19-current-bengaluru): Current is the only dedicated conference for the data streaming and Apache Kafka ® Community.
Itʼs the event for developers, operators, data scientists, and tech executives who are implementing data streaming platforms across their organizations and developing stream processing applications for use cases ranging from GenAI to innovative customer experiences.


Join us at our booth for an exciting one-day, in-person event filled with insightful talks on data streaming and the powerful ways Dragonfly can make a difference. Don’t miss out on this opportunity to dive into cutting-edge solutions and connect with our team.
- [[Video] Why Is Redis So Expensive & How to Cut Costs by 80%](https://www.dragonflydb.io/events/2024-12-17-why-redis-is-so-expensive): Learn why Redis-based solutions like ElastiCache and Redis Cloud are expensive and discover how Dragonfly can help you dramatically reduce costs while improving performance.
- [Dragonfly at AWS re:Invent 2024](https://www.dragonflydb.io/events/2024-12-02-aws-reinvent-2024): Join us at the AWS re:Invent 2024 in Las Vegas, Nevada.
- [Dragonfly at KubeCon Salt Lake City 2024](https://www.dragonflydb.io/events/2024-11-12-kubecon-salt-lake-2024): Join us at the KubeCon + CloudNativeCon North America 2024 in Salt Lake City, Utah.
- [[Video] Dragonfly Cloud: An 80% Lower Cost Hosted Redis Alternative](https://www.dragonflydb.io/events/2024-11-07-introduction-to-dragonfly-cloud): Join us for an exclusive event focused on the cutting-edge capabilities of Dragonfly, your ultimate Redis replacement.
- [[Video] Conf42 JavaScript 2024: Full Stack End-to-End Type Safety](https://www.dragonflydb.io/events/2024-10-31-conf42-js-tech-talk): Learn how to achieve end-to-end type safety across both client and backend without relying on a DSL, keeping everything within your TypeScript codebase.
- [[Video] Optimizing Database Management in Kubernetes](https://www.dragonflydb.io/events/2024-10-17-tech-talk-devops-columbia): Unlock the full potential of database management in Kubernetes environments using Dragonfly, Redis, and PostgreSQL as key examples.
- [[Video] Exclusive Dragonfly Event: Meet the Team and Shape the Future](https://www.dragonflydb.io/events/2024-09-25-join-the-dragonfly-community): Join us for an exclusive event focused on the cutting-edge capabilities of Dragonfly, your ultimate Redis replacement.
- [Exploring Dragonfly Cluster: An Exclusive Preview](https://www.dragonflydb.io/events/2024-09-19-webinar-dragonfly-cluster): Join us for an exclusive first look at Dragonfly Cluster—let's go beyond 1TB in-memory data workloads.
- [[HTAP Summit 2024 Video] Rethinking Data Infra in the Modern Cloud](https://www.dragonflydb.io/events/2024-09-11-htap-summit): Join us at HTAP Summit, a one-stop destination for you to discuss, collaborate, share ideas, and learn with your fellow app developers and database practitioners.
- [September Community Catch-Up](https://www.dragonflydb.io/events/2024-09-11-community-catch-up): Join us at the Dragonfly Community Catch-Up for a monthly deep dive into the latest features, contributions, and updates from our team.
- [[Video] Document Database Community Tech Talk](https://www.dragonflydb.io/events/2024-08-28-document-database-community): Discover how to future-proof your cloud infra for unmatched efficiency, reliability, and performance with evolving hardware and application demands.
- [[Video] Scaling Heavy BullMQ Workloads with Dragonfly Cloud](https://www.dragonflydb.io/events/2024-08-27-webinar-heavy-bullmq-wordloads): Scale your BullMQ queues to handle heavy workloads and maintain high throughput using the backing power of Dragonfly Cloud.
- [DevOpsDays Halifax 2024](https://www.dragonflydb.io/events/2024-08-21-devops-days-halifax): Join us at DevOpsDays Halifax 2024!
- [[Video] Dragonfly Community Catch-Up (August, 2024)](https://www.dragonflydb.io/events/2024-08-14-community-catch-up): Join us at the Dragonfly Community Catch-Up for a monthly deep dive into the latest features, contributions, and updates from our team.
- [[Video] Dragonfly Community Catch-Up (July, 2024)](https://www.dragonflydb.io/events/2024-07-11-community-catch-up): Join us at the Dragonfly Community Catch-Up for a monthly deep dive into the latest features, contributions, and updates from our team.
- [[Video] Exploring A Top Redis Alternative: Dragonfly](https://www.dragonflydb.io/events/2024-06-26-webinar-exploring-a-top-redis-alternative): Join Roman Gershman, creator of the Dragonfly project, to learn more about managing intensive in-memory workloads using Dragonfly Cloud.
- [Kubernetes Community Day (KCD) Hyderabad 2024](https://www.dragonflydb.io/events/2024-06-22-kcd-hyderabad): Join us at Kubernetes Community Day (KCD) Hyderabad 2024.
- [PlatformCon 2024 Watch Party](https://www.dragonflydb.io/events/2024-06-13-platform-con-watch-party): Join us at PlatformCon 2024.
- [[Video] PlatformCon 2024 - Scaling Infra in the Modern Cloud with Dragonfly](https://www.dragonflydb.io/events/2024-06-10-platform-con): Discover how to rethink data infrastructure scaling for modern cloud demands with Dragonfly CEO's expert perspective at PlatformCon 2024.
- [TypeScript's Magic: Achieving End-to-End Type Safety Across the Full Stack](https://www.dragonflydb.io/events/2024-06-06-tech-talk-toronto-js): Join us to learn more about the magic of TypeScript and how to achieve end-to-end type safety across the full stack.
- [[Video] Managing Dragonfly in the Cloud](https://www.dragonflydb.io/events/2024-05-29-webinar-managing-dragonfly-in-the-cloud): Join us to learn more about managing intensive in-memory workloads using Dragonfly Cloud.
- [DevOpsDays Seattle 2024](https://www.dragonflydb.io/events/2024-05-14-devops-days-seattle): Join us at DevOpsDays Seattle 2024. Stop by our booth, meet the team, and learn more!
- [[Video] Dragonfly Office Hours: Updates & Deep Dive (May, 2024)](https://www.dragonflydb.io/events/2024-05-08-community-office-hours): Join us for the Dragonfly May Community Office Hours for recent updates, a deep dive into Dragonfly, and a guest speaker sharing their experience with Dragonfly.
- [[Video] Aiven for Dragonfly: Redis Scalability Issues Solved](https://www.dragonflydb.io/events/2024-04-10-webinar-aiven-for-dragonfly): Join us to learn more about Aiven for Dragonfly, the managed high-performance in-memory data store service.
- [KubeCon Community Clink Gathering](https://www.dragonflydb.io/events/2024-03-21-kubecon-community-clink): Exclusive Community Clink Gathering, showcasing the Dragonfly, Scarf, and Dagger social at KubeCon Paris.
- [[Video] Dragonfly at KubeCon + CloudNativeCon Europe 2024](https://www.dragonflydb.io/events/2024-03-19-kubecon-emea): Learn the tradeoffs of open-source licensing and business models for startup monetization and community adoption.
- [[Video] Diving Deep into Sidekiq and Dragonfly](https://www.dragonflydb.io/events/2024-03-12-community-office-hours-sidekiq): Learn directly from Sidekiq creator Mike Perham how to boost your Sidekiq background job workloads with Dragonfly.
- [[Video] Scaling Redis Simplified: Migrating from Cluster to Dragonfly](https://www.dragonflydb.io/events/2024-02-28-workshop-scaling-redis-simplified-migrating-from-cluster-to-dragonfly): Learn how to migrate your existing Redis Cluster to Dragonfly for better performance and simplified operations.
- [[Video] Mastering Dragonfly Kubernetes Operator](https://www.dragonflydb.io/events/2024-02-14-community-office-hours-kubernetes-deployment): Join us to learn how to optimize your Dragonfly deployment within Kubernetes.
- [[Video] Dragonfly Migration Techniques](https://www.dragonflydb.io/events/2024-01-10-community-office-hours-migration): Learn how to migrate your existing Redis instances to Dragonfly using different tools to fit your data consistency and downtime requirements.
- [[Video] Introducing Dragonfly Search](https://www.dragonflydb.io/events/2023-12-13-community-office-hours-dragonfly-search): Dragonfly v1.13 introduces Dragonfly Search, a RediSearch compliant query engine. Join us to explore how Dragonfly Search is built and see a live demo with OpenAI!
- [Scaling Real-Time Leaderboards](https://www.dragonflydb.io/events/2023-12-06-workshop-scaling-real-time-leaderboards): Join us to learn how to create robust real-time leaderboards that not only foster player competition and engagement but also operate efficiently under heavy workloads.
- [[Video] Managing Dragonfly with Kubernetes Operator](https://www.dragonflydb.io/events/2023-11-15-workshop-scaling-in-memory-workloads): Join us to learn how to scaling In-Memory Workloads to Millions of QPS with Dragonfly K8s Operator but also operate efficiently under heavy workloads.
- [[Video] Dragonfly at KubeCon + CloudNativeCon North America 2023](https://www.dragonflydb.io/events/2023-11-06-kubecon-north-america): A roundtable with founders from several of the most innovative and widely used open-source-based DBaaS startups (Xata, Cockroach, DuckDB, Dragonfly) discussing the future of this growing space.
- [[Video] BullMQ + Dragonfly: Job Queues At Scale](https://www.dragonflydb.io/events/2023-10-18-community-office-hours-job-queues-at-scale): Join us to learn how to build BullMQ and Dragonfly job queues at scale and also operate efficiently under heavy workloads.


## Careers
> Current job openings and career opportunities at DragonflyDB.

- [Technical Advocate At Dragonfly](https://www.dragonflydb.io/careers/technical-advocate): As a Technical Advocate, you’ll own how Dragonfly shows up to developers, ML platform teams, and infrastructure engineers. 
- [Dragonfly is hiring an Account Executive.](https://www.dragonflydb.io/careers/account-executive): Join us as an Account Executive, responsible for managing the entire sales lifecycle—from initial outreach to deal close—crafting each step of the customer journey.
- [Dragonfly is hiring a Product Marketing Manager.](https://www.dragonflydb.io/careers/technical-product-marketing-manager-): We’re looking for a Product Marketing Manager to define and drive Dragonfly’s positioning, messaging, and go-to-market strategy. 

- [Senior Control Plane Backend Engineer (Golang)](https://www.dragonflydb.io/careers/senior-control-plane-backend-engineer-golang): We are looking for a Senior Software Engineer to help evolve Dragonfly Cloud as the world's leading managed in-memory store.
- [Principal Software Engineer (C++) ](https://www.dragonflydb.io/careers/principal-software-engineer-c-): We’re looking for a hands-on Principal Engineer to lead our core C++ team in building a next-generation in-memory datastore.
- [VP of Sales - Dragonfly](https://www.dragonflydb.io/careers/vp-of-sales): We’re looking for a strategic and hands-on VP of Sales to build and lead our go-to-market efforts. You’ll be a foundational member of the leadership team.
- [Technical Solutions Engineer at Dragonfly based in North America](https://www.dragonflydb.io/careers/technical-solutions-engineer): The Technical Solutions Engineer will play a pivotal role in helping Dragonfly secure and support larger customers with complex needs. 
- [Dragonfly Job Opening | Senior Core C++ Engineer](https://www.dragonflydb.io/careers/senior-core-cpp-engineer): Exciting opportunity for C++ engineers to play a meaningful role in shaping the next generation of the in-memory data store technology.
- [Dragonfly Job Opening | Sales Development Representative](https://www.dragonflydb.io/careers/sales-development-representative): Join us as one of the first sales hires, driving growth and building relationships with our expanding customer base.


## Whitepapers
> Technical whitepapers and ebooks on system design, high-performance data architecture, and best practices from DragonflyDB experts.

- [The Definitive In-Memory Data Store Benchmark Report](https://www.dragonflydb.io/content/the-definitive-in-memory-data-store-benchmark-report): Dragonfly vs. Redis vs. Valkey: See how Dragonfly delivers 25x more throughput and 45% better memory efficiency in this benchmark report.
- [How Dragonfly's Architecture Delivers 80% Lower Costs Than Redis](https://www.dragonflydb.io/content/how-dragonflys-architecture-delivers-80-lower-costs-than-redis): Learn how Dragonfly's multithreaded architecture helps dramatically lower costs without sacrificing performance.
- [Optimizing Your AWS ElastiCache Workload](https://www.dragonflydb.io/content/optimizing-your-aws-elasticache-workload): Learn how to optimizing your ElastiCache deployment to improve performance, reduce costs, and ensure long-term scalability.
- [Implementing MLOps in the Enterprise](https://www.dragonflydb.io/content/enterprise-mlops): Implementing MLOps in the Enterprise: Production-First Approach ebook courtesy of Dragonfly
- [System Design on AWS](https://www.dragonflydb.io/content/aws-system-design): System Design on AWS ebook by Dragonfly
- [Patterns for a High-Performance Data Architecture](https://www.dragonflydb.io/content/patterns-for-high-performance-data-architecture): Patterns for a High-Performance Data Architecture Whitepaper by Dragonfly