In-Memory Distributed Database
What is Infinispan?
Open-source, distributed, in-memory database with full-text and vector search. Elastically scalable, highly available, and replicated across data centers. Connect via HotRod, REST, Redis, or Memcached protocols.
Ready to start using Infinispan?
Get Started Now
Features
Interoperability
Access data across multiple protocols and programming languages.
Resilient and Fault Tolerant Data
Ensure data is always available to meet demanding workloads.
ACID Transactions
Guarantee that data is always valid and consistent.
Clustered Processing
Process data in real-time without burdening resources.
Queries & Vector Search
Full-text, relational, and kNN vector similarity search for AI and traditional workloads.
Cloud Native
Kubernetes Operator, Helm charts, and container images. Run anywhere from OpenShift to AWS.
Infinispan for AI
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.
Boost Application Performance
Store data in-memory for sub-millisecond access. Use as an embedded library or a standalone server.
Learn MoreHigh Availability & Elasticity
Distribute data across clusters so no single point of failure causes data loss. Scale elastically by adding or removing nodes.
Learn More
Backup Across Data Centers
Replicate data across geographically distributed clusters with automatic failover and conflict resolution.
Learn More
Recent Blog Posts
Infinispan Hot Rod JS Client 0.14.0: Near Feature Parity with Java
We are happy to announce the release of the Infinispan Hot Rod JS Client 0.14.0. This release brings the JavaScript client very close to feature parity with the Java Hot Rod client, with support...
Vector search quickstart with Infinispan
Vector databases have become essential building blocks for AI-powered applications. They let you store unstructured data — text, images, audio — as numerical embeddings that capture semantic mea...
Infinispan Joins the OGX Ecosystem as a Vector IO Provider
Infinispan has been integrated into the OGX (Open GenAI Stack), formerly known as Llama Stack, as a vector IO provider, enabling developers to build RAG (Retrieval-Augmented Generation) applicat...
Infinispan is a Commonhaus Foundation project
Infinispan is part of the Commonhaus Foundation
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.
Feedback and Help
For usage questions, we recommend to:
- Use the Discussions section on our GitHub project.
- Ask on Stack Overflow with the
infinispantag.
For questions related to the development of Infinispan:
Join the Infinispan Community
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.
