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Access data across multiple protocols and programming languages.
Ensure data is always available to meet demanding workloads.
Guarantee that data is always valid and consistent.
Process data in real-time without burdening resources.
Full-text, relational, and kNN vector similarity search for AI and traditional workloads.
Kubernetes Operator, Helm charts, and container images. Run anywhere from OpenShift to AWS.
Vector search, semantic caching, RAG, and conversation memory — all built into Infinispan. Native integrations with Spring AI, LangChain4j, and LangChain for next-generation AI applications.
Store data in-memory for sub-millisecond access. Use as an embedded library or a standalone server.
Learn MoreDistribute data across clusters so no single point of failure causes data loss. Scale elastically by adding or removing nodes.
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Replicate data across geographically distributed clusters with automatic failover and conflict resolution.
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Exploring the New OpenAPI-Compliant REST API v3 in Infinispan 16.1 With Infinispan 16.1 "Polly Want a Pilsner", we introduce the OpenAPI-compliant v3 REST API, bringing modern API standards to In...
"Polly Want a Pilsner" Infinispan 16.1 is here, and it is codenamed "Polly Want a Pilsner". It is the first release that follows our time-boxed plan. Container-based eviction Prio...
In Infinispan 15, we added a variety of commands to help replace your Redis server without changing your code. The 15.2 release also included Lua Scripting and Redis JSON APIs. Key takeaways: ...
In order to fulfill our goal of being more inclusive and fostering a more collaborative environment, Infinispan has joined the Commonhaus Foundation. This move further solidifies our commitment to open-source development and enterprise adoption, providing a neutral ground where organizations and contributors can feel equally valued and involved. Infinispan continues to thrive, supported by a broad base of contributors from multiple organizations.
For usage questions, we recommend to:
infinispan tag.For questions related to the development of Infinispan:
Check out our GitHub for details on reporting issues and the process for submitting pull requests.
Every contribution is valuable. It can be a bug report, an example application, a feature request, a fix in the documentation or just feedback.
Your help is more than welcome! Don't hesitate to join the crowd.