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# SingleStore

> SingleStore is a distributed SQL database for real-time AI and analytics, unifying transactions, analytics, vector search, and full-text search in one engine.

## Product

- [AI Features](https://www.singlestore.com/ai/): Overview of SingleStore's AI capabilities including vector search, AI functions, LLM integration, and real-time data access for AI applications.
- [Product Overview](https://www.singlestore.com/product-overview/): Detailed breakdown of SingleStore's architecture, core capabilities, and differentiated features versus traditional databases.
- [Ultra-Fast Queries](https://www.singlestore.com/platform/ultra-fast-queries/): How SingleStore achieves sub-second query performance on large datasets through columnar storage, in-memory processing, and compiled query execution.
- [Multi-Model Data](https://www.singlestore.com/platform/multi-model/): SingleStore's support for relational, JSON, vector, time-series, and full-text data in a single engine, eliminating the need for multiple specialized databases.
- [Search](https://www.singlestore.com/platform/search/): Full-text, vector, and hybrid search capabilities built into the database, enabling semantic and keyword search without an external search engine.
- [Data Integration](https://www.singlestore.com/platform/data-integration/): Built-in connectors and pipeline tools for ingesting data from Kafka, S3, MySQL, and other sources directly into SingleStore without external ETL.
- [High Availability](https://www.singlestore.com/platform/high-availability/): SingleStore's replication, failover, and durability architecture for production workloads requiring continuous uptime.
- [Kai (MongoDB API Compatibility)](https://www.singlestore.com/connectors/kai/): SingleStore Kai enables existing MongoDB applications to connect to SingleStore using the MongoDB wire protocol without code changes.
- [Pricing](https://www.singlestore.com/pricing/): Pricing tiers for SingleStore including cloud, self-managed, and free trial options with compute and storage details.
- [Get Started](https://www.singlestore.com/blog/how-to-get-started-with-singlestore/): Free trial signup and quickstart guide for new SingleStore users.

## Solutions

- [AI Solutions](https://www.singlestore.com/solutions/ai/): Use cases for AI workloads including vector search, real-time inference, and AI application backends.
- [RAG with SingleStore](https://www.singlestore.com/solutions/retrieval-augmented-generation/): Architecture and implementation guidance for building retrieval-augmented generation systems.
- [Real-Time Analytics](https://www.singlestore.com/solutions/real-time-analytics/): Real-time analytics on live operational data without ETL, covering architecture, use cases, and performance benchmarks.
- [Financial Services](https://www.singlestore.com/solutions/financial-services/): Deployments for fraud detection, risk analytics, and real-time transaction processing.
- [Government & Public Sector](https://www.singlestore.com/industries/government-public-sector/): Use cases for defense, civilian government, and public services data applications.

## Comparisons

- [SingleStore vs. ClickHouse](https://www.singlestore.com/blog/singlestore-vs-clickhouse-why-consistent-vector-search-latency-matters/): Benchmark comparison focusing on consistent vector search latency, showing SingleStore's advantage for mixed workloads at production scale.
- [SingleStore vs. Classic Data Stack](https://www.singlestore.com/blog/singlestore-vs-the-classic-data-stack-why-real-time-and-ai-break-patchwork-architectures/): Analysis of why patchwork architectures (data lake + warehouse + vector DB) fail for real-time AI and how a unified platform addresses the gaps.
- [SingleStore vs. Elasticsearch](https://www.singlestore.com/elasticsearch/): Feature and performance comparison with Elasticsearch for hybrid search, operational analytics, and cost efficiency.
- [SingleStore vs. PostgreSQL](https://www.singlestore.com/comparisons/postgresql/): Performance and feature comparison with PostgreSQL covering scalability, real-time analytics, and operational workloads.
- [SingleStore vs. MongoDB](https://www.singlestore.com/comparisons/mongodb/): Head-to-head comparison with MongoDB covering multi-model data, query performance, and total cost of ownership.
- [SingleStore vs. Pinecone](https://www.singlestore.com/pinecone-vector-database/): Comparison with dedicated vector databases, covering total cost and operational complexity when replacing a standalone vector store.
- [Migrating from MySQL to SingleStore](https://www.singlestore.com/migrating-from-mysql-to-singlestore/): Comparison and guide for migrating MySQL workloads to SingleStore, covering compatibility, migration steps, and performance benefits.

## Blog

- [GraphRAG: Improving Multi-Hop Reasoning](https://www.singlestore.com/blog/rethinking-rag-how-graphrag-improves-multi-hop-reasoning-/): How Graph-based RAG outperforms standard RAG for complex multi-hop reasoning tasks.
- [A Guide to Retrieval Augmented Generation (RAG)](https://www.singlestore.com/blog/a-guide-to-retrieval-augmented-generation-rag/): Foundational guide to RAG covering architecture, embedding strategies, retrieval methods, and practical implementation patterns.
- [Context Engineering: A Definitive Guide](https://www.singlestore.com/blog/context-engineering-a-definitive-guide/): Structuring data context for LLM prompts, covering retrieval strategies, chunking, and relevance ranking.
- [Hybrid Search Using Reciprocal Rank Fusion](https://www.singlestore.com/blog/hybrid-search-using-reciprocal-rank-fusion-in-sql/): Tutorial for combining vector similarity and BM25 full-text scores in SQL.
- [Agentic RAG with SingleStore](https://www.singlestore.com/blog/agentic-rag-with-singlestore/): Building RAG pipelines that use agentic reasoning to dynamically select retrieval strategies and refine answers.

## Docs & Resources

- [Documentation](https://docs.singlestore.com/): Official documentation covering SQL reference, cluster management, vector indexing, pipeline configuration, and security.
- [Developers](https://www.singlestore.com/developers/): Quickstarts, code samples, API documentation, and the SingleStore developer community.
- [Resources](https://www.singlestore.com/resources/): Whitepapers, datasheets, webinar recordings, and technical guides.
- [SingleStore Spaces](https://www.singlestore.com/spaces/): Interactive notebook environment for building and prototyping AI applications in the browser.
- [Training](https://www.singlestore.com/training/): Self-paced learning paths, certification programs, and instructor-led training.
- [Free Database Tools](https://www.singlestore.com/free-database-tools/): JSON-to-SQL converter, dummy data generator, and PlanetScale migration tool.
- [Support](https://www.singlestore.com/support): Technical support portal and resources for SingleStore customers.

## Company

- [About SingleStore](https://www.singlestore.com/company/): Company history, mission and leadership.
- [Careers](https://www.singlestore.com/careers/): Open roles across engineering, sales, marketing, and operations.
- [Partners](https://www.singlestore.com/partners/): Technology and channel partner ecosystem including cloud providers and system integrators.
- [Security](https://www.singlestore.com/security/): Security practices, certifications, and compliance documentation.
- [Contact](https://www.singlestore.com/contact/): Sales inquiries, support contacts, and office locations.

## Key Facts

- Founded in 2011 as MemSQL; rebranded to SingleStore in 2021
- Headquartered in San Francisco, California, USA
- ~400 employees (as of early 2026)
- Core product: distributed SQL database with native vector search, full-text search, JSON, time-series, and OLAP in a single engine
- Key differentiator: unified HTAP platform — no separate OLTP + OLAP + vector databases required
- Deployment: cloud-native (AWS, Azure, GCP) via SingleStore Helios; also self-managed on-premises or hybrid
- MySQL wire-compatible: existing MySQL applications connect without code changes
- Industry: Cloud database infrastructure, AI/ML data platform, real-time analytics
- Open source: No (commercial product with free developer options)
- GitHub: github.com/singlestore-labs (195+ repositories, actively maintained)

## Contact

- Website: https://www.singlestore.com/
- Documentation: https://docs.singlestore.com/
- Support: https://support.singlestore.com/
- GitHub: https://github.com/singlestore-labs
- LinkedIn: https://www.linkedin.com/company/singlestore
- Twitter/X: https://twitter.com/singlestoredb
- YouTube: https://www.youtube.com/singlestore
- Reddit: https://www.reddit.com/r/SingleStoreCommunity/