# Hazelcast

> Take instant action on your streaming data by combining stream processing and an ultra\-fast data store in one unified platform\. Get started\!

Generated by Yoast SEO v27.4, this is an llms.txt file, meant for consumption by LLMs.

## Pages
- [Home](https://hazelcast.com/)
- [Developers](https://hazelcast.com/developers/)
- [Platform](https://hazelcast.com/products/)
- [Self\-Managed](https://hazelcast.com/products/hazelcast-platform/)
- [Resources](https://hazelcast.com/resources/)

## Posts
- [Schema Evolution in Hazelcast: Evolve your data without downtime](https://hazelcast.com/blog/schema-evolution-in-hazelcast-evolve-your-data-without-downtime/)
- [Hazelcast Spring Session is getting a refresh \(and Hazelcast now maintains it\)](https://hazelcast.com/blog/hazelcast-spring-session-is-getting-a-refresh/)
- [Resilient user sessions are easier than you think with Hazelcast Spring Session](https://hazelcast.com/blog/resilient-user-sessions-are-easier-than-you-think-with-hazelcast-spring-session/)
- [Why Hazelcast believes its live data platform redefines streaming data platforms](https://hazelcast.com/blog/why-hazelcast-believes-its-live-data-platform-redefines-streaming-data-platforms/)
- [Announcing Hazelcast Platform 5\.6\.0: Enhanced Control and Resilience](https://hazelcast.com/blog/announcing-hazelcast-platform-5-6-0/)

## Modals
- [5 Minute Tutorial Video](https://hazelcast.com/modals/5-minute-tutorial-video/)
- [Demo Video](https://hazelcast.com/modals/demo-video/)
- [Open Source Training Bundle](https://hazelcast.com/modals/open-source-training-bundle/)
- [Jesse Cary Fanatics abstract](https://hazelcast.com/modals/37011/)
- [Calendly \- Garter Apps London](https://hazelcast.com/modals/calendly-garter-apps-london/)

## Components
- [Announcing New Version](https://hazelcast.com/component/announcing-new-version/)
- [Eyebrow Banner CTA](https://hazelcast.com/component/eyebrow-banner-cta/)
- [Persona Masonry Grid](https://hazelcast.com/component/persona-masonry-grid/)
- [Simple dark CTA](https://hazelcast.com/component/36399/)
- [Two thirds of the world's transactions\.\.\. CTA](https://hazelcast.com/component/two-thirds-of-the-worlds-transactions-cta/)

## CTAs
- [Level up with Hazelcast \(Glossary\)](https://hazelcast.com/blog/cta/level-up-with-hazelcast-glossary/)
- [Support for Clients \& Languages](https://hazelcast.com/blog/cta/support-for-clients-languages/)
- [Let's get started\! \(ungated resource\)](https://hazelcast.com/blog/cta/get-started-contact-request-demo-3/)
- [Thinking about it? \(Case Studies\)](https://hazelcast.com/blog/cta/thinking-abou-it-case-studies/)
- [Level up with Hazelcast \(Use Cases\)](https://hazelcast.com/blog/cta/free-training-use-cases/)

## Customers
- [ING Türkiye](https://hazelcast.com/blog/customer/ing-turkiye/)
- [PSA Antwerp Cuts Operational Costs by 33% by Optimizing their Business in Real Time](https://hazelcast.com/blog/customer/psa-antwerp-cuts-operational-costs-by-33-by-optimizing-their-business-in-real-time/)
- [Fluidra Makes Waves With Real\-Time, Customer Experience](https://hazelcast.com/blog/customer/fluidra-makes-waves-with-real-time-customer-advocacy/)
- [Shift4](https://hazelcast.com/blog/customer/credorax-2/)
- [SBB \- Swiss Federal Railways](https://hazelcast.com/blog/customer/sbb-swiss-federal-railways/)

## Use Cases
- [Hot Data Layer](https://hazelcast.com/use-cases/hot-data-layer/): A hot data layer is an architecture that supports a variety of use cases that require collecting real\-time data into a central repository upon which applications can be built\. A hot data layer is valuable for managing operational and transactional data that are continually updated via applications as well as parallelized in\-cluster jobs\.
- [Fast Batch Processing](https://hazelcast.com/use-cases/fast-batch-processing/): Hazelcast employs many performance optimizations to speed up batch processing up to 15 times compared to Spark or Flink\. Hadoop is overperformed by magnitudes\.
- [Fast Data Store](https://hazelcast.com/use-cases/fast-data-store/): Hazelcast Platform is a unified real\-time data platform that uniquely combines a distributed, fast data store with a high\-speed, distributed computing engine\. Run parallelized jobs on your Hazelcast data that run sophisticated transformations and calculations in an efficient, divide\-and\-conquer paradigm\.
- [Hazelcast Platform vs Apache Flink](https://hazelcast.com/use-cases/hazelcast-platform-vs-apache-flink/): Consider Hazelcast Platform as an alternative to Apache Flink because its unified architecture streamlines application development, ensuring your developers align more closely with your business objectives\. 
- [ETL and Data Ingestion](https://hazelcast.com/use-cases/etl-and-data-ingestion/): ETL is an acronym for “extract, transform, load\.” Extract refers to collecting data from some source\. Transform refers to any processes performed on that data\. Load refers to sending the processed data to a destination, such as a database\. ETL is a data processing concept dating back to the 1970s, but it remains important today because it is one of the most dominant frameworks for providing people and applications with data\. Engineering and product teams load and preprocess data from a variety of sources to a number of destinations with ETL techniques and software\.

## Resources
- [Hazelcast at FIMA US 2026](https://hazelcast.com/resources/hazelcast-at-fima-us-2026/): Hazelcast is proud to sponsor FIMA US 2026, the leading event for data leaders in financial services\.
- [Live Virtual Workshop: Architecting Payment Systems for Real\-time Performance](https://hazelcast.com/resources/live-virtual-workshop-architecting-payment-systems-for-real-time-performance/): \<b\>EMEA/North America\</b\>
Join our interactive, virtual workshop designed for developers and architects who want to build and evolve high\-performance, distributed payment systems without sacrificing consistency, latency, or observability\.
- [Microservices at Scale: Solving State and Latency Challenges Without Added Complexity](https://hazelcast.com/resources/microservices-at-scale/): Scaling microservices often leads to rising latency, fragile caching, and hard\-to\-manage distributed state\. Watch this webinar to learn practical patterns for keeping systems fast, resilient, and maintainable \- without increasing architectural complexity\.
- [Rolling Upgrades \& Low\-Latency Processing: How SNCF Optimized Train Operations and Geolocation](https://hazelcast.com/resources/case-study-how-sncf-optimized-train-operations-and-geolocation/)
- [An Architect's View of the Hazelcast Platform](https://hazelcast.com/resources/architects-view-hazelcast/): This white paper provides an introduction for enterprise architects and application developers to the distributed, real\-time capabilities of the Hazelcast Platform\.

## News Stories
- [Streaming Data Buyers Guide](https://hazelcast.com/news-story/streaming-data-buyers-guide/): Although messaging and event processing can trigger specific actions in response to events, the ability of an enterprise to make real\-time business decisions is enhanced through the processing of streaming data as it is communicated\.
- [Streaming Analytics Buyers Guide](https://hazelcast.com/news-story/streaming-analytics-buyers-guide/): As all enterprises strive to be data\-driven, making a higher proportion of decisions based on data is no longer enough to differentiate\. The winners will be those that process and act upon data at the speed of business\.
- [Real\-Time Data Buyers Guide](https://hazelcast.com/news-story/real-time-data-buyers-guide/): To differentiate from the pack, enterprises need to process and analyze more data and increase the frequency with which data\-driven decisions are made by acting upon data in real time\.
- [The Futuriom 50: 2024 in Review](https://hazelcast.com/news-story/the-futuriom-50-2024-in-review/): As the end of 2024 approaches, it’s time for us at Futuriom to take a long look back at our Futuriom 50 list\. This is our chosen selection of 50 of the strongest private companies in key markets for cloud and communications technology\. January 2025 will mark our fourth year publishing this report\.
- [Trend\-Setting Products in Data and Information Management for 2025](https://hazelcast.com/news-story/trend-setting-products-in-data-and-information-management-for-2025/): Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured data, and the substantial increase in data volume\.

## Team
- [Anthony Griffin](https://hazelcast.com/team/anthony-griffin/)
- [Justin Walter](https://hazelcast.com/team/justin-walter/)
- [Dishank Nagpal](https://hazelcast.com/team/dishank-nagpal/)
- [Blair Rundell](https://hazelcast.com/team/blair-rundell/)
- [Jane Rodstein Matteis](https://hazelcast.com/team/jane-rodstein-matteis/)

## Partners
- [GFT Technologies](https://hazelcast.com/partner/gft-technologies/): GFT Technologies is an AI\-centric global digital transformation company\. We design advanced data and AI business transformation solutions, modernize technology architectures and develop next\-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics\. 
- [TES Enterprise Solutions](https://hazelcast.com/partner/tes-enterprise-solutions/): As a Hazelcast and IBM Platinum Business Partner, TES Enterprise Solutions delivers unparalleled expertise in IBM Systems z and LinuxONE platforms\. Our deep understanding of the mainframe ecosystem enables comprehensive services including platform modernization, cyber resiliency, data protection, and hybrid cloud architecture\. 
- [AMD](https://hazelcast.com/partner/amd/): AMD is the high performance and adaptive computing leader, powering the products and services that help solve the world’s most important challenges\. Our technologies advance the future of the data center, embedded, gaming and PC markets\.
- [ICT Group](https://hazelcast.com/partner/ict-group/): We are a versatile and flexible IT partner that takes things to a practical level\. Our core competencies are development and optimization of server, network and storage infrastructures\. In addition to this, we also provide our customers with comprehensive solutions related to workstations and information security\.
- [AArete](https://hazelcast.com/partner/aarete/)

## Foundations
- [Directed Acyclic Graph \(DAG\)](https://hazelcast.com/foundations/distributed-computing/directed-acyclic-graph/)
- [Caching](https://hazelcast.com/foundations/caching/caching/)
- [Cache Access Patterns](https://hazelcast.com/foundations/caching/cache-access-patterns/)
- [Data Pipeline](https://hazelcast.com/foundations/event-driven-architecture/data-pipeline/)
- [Microservices](https://hazelcast.com/foundations/software-architecture/microservices/)

## Press Releases
- [Hazelcast and Azul Team to Deliver SLA Assurance for Java\-based Businesses](https://hazelcast.com/press-release/hazelcast-azul-team/)
- [Hazelcast Named a Strong Performer in Streaming Data Platforms](https://hazelcast.com/press-release/hazelcast-named-a-strong-performer-in-streaming-data-platforms/)
- [Hazelcast Adds Vector Search, Unveils Core Architecture for AI Integration](https://hazelcast.com/press-release/hazelcast-adds-vector-search-unveils-core-architecture-for-ai-integration/)
- [Hazelcast Achieves Record Year with Leading Brands Choosing its Platform for Application Modernization, AI Initiatives](https://hazelcast.com/press-release/hazelcast-achieves-record-year-with-leading-brands-choosing-its-platform-for-application-modernization-ai-initiatives/)
- [New Streaming Data Platform Analyst Report Names Hazelcast a Strong Performer and ‘Foretells the Future of Streaming…’](https://hazelcast.com/press-release/new-streaming-data-platform-analyst-report-names-hazelcast-a-strong-performer-and-foretells-the-future-of-streaming/): As the Forrester report states, “streaming data is the pulse of an enterprise,” and Hazelcast views stream processing as a critical component of real\-time application architectures\. Many Global 2000 customers trust Hazelcast and its platform to act instantly on streaming data for real\-time use cases\.

## Heroes
- [Martin W\. Kirst](https://hazelcast.com/blog/hero/martin-w-kirst/)
- [Piotr Jasina](https://hazelcast.com/blog/hero/piotr-jasina/)
- [Lenny Primak](https://hazelcast.com/blog/hero/lenny-primak/)
- [Tomasz Gawęda](https://hazelcast.com/blog/hero/tomasz-gaweda/)
- [Mat Johns](https://hazelcast.com/blog/hero/mat-johns-2/)

## Hub Projects
- [Application Connector](https://hazelcast.com/blog/hub-project/application-connector/)
- [Kubernetes Cloud Discovery](https://hazelcast.com/blog/hub-project/kubernetes-cloud-discovery/)
- [AWS Cloud Discovery](https://hazelcast.com/blog/hub-project/aws-cloud-discovery/)
- [Grails 3](https://hazelcast.com/blog/hub-project/grails-3/)
- [Hazelcast JCA Resource Adapter](https://hazelcast.com/blog/hub-project/hazelcast-jca-resource-adapter/)

## Speakers
- [Pete Whitney](https://hazelcast.com/blog/speaker/pete-whitney/)
- [Samir Sharma](https://hazelcast.com/blog/speaker/samir-sharma/)
- [Noel Yuhanna](https://hazelcast.com/blog/speaker/noel-yuhanna/)
- [Ashish Sahu](https://hazelcast.com/blog/speaker/ashish-sahu/)
- [Jonathan Ashton](https://hazelcast.com/blog/speaker/jonathan-ashton/)

## Slides
- [Workshop: Building Event\-Driven Microservices](https://hazelcast.com/blog/slide/workshop-building-event-driven-microservices/)
- [Forrester Wave](https://hazelcast.com/blog/slide/forrester-wave/)
- [Level up e\-book](https://hazelcast.com/blog/slide/level-up-e-book/)
- [Use Case \- Financial Services](https://hazelcast.com/blog/slide/use-case-financial-services-3/)
- [Use Case \- Airlines](https://hazelcast.com/blog/slide/use-case-financial-services/)

## Optional
- [Sitemap index](https://hazelcast.com/sitemap_index.xml)