In-Memory Distributed Data Store

What is Infinispan?

Infinispan is an open-source in-memory data grid that offers flexible deployment options and robust capabilities for storing, managing, and processing data. Infinispan provides a key/value data store that can hold all types of data, from Java objects to plain text. Infinispan distributes your data across elastically scalable clusters to guarantee high availability and fault tolerance, whether you use Infinispan as a volatile cache or a persistent data store.



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.


Perform simple, accurate, and fast searches across distributed data sets.

Boost Application Performance

Infinispan turbocharges applications by storing data closer to processing logic, which reduces latency and increases throughput.

Available as a Java library, you simply add Infinispan to your application dependencies and then you’re ready to store data in the same memory space as the executing code.

If you want to provision a data layer that is independent of your applications, you can use Infinispan Server for remote access to data with in-memory performance. Clients are a single network hop away from data through consistent hashing techniques and can make requests over HTTP or with a custom binary TCP protocol called Hot Rod.

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Achieve High Availability and Elasticity

Infinispan provides trusted open-source technology to deliver scalability to meet workload demands and reduce resource utilization. At the same time, Infinispan distributes your data across clusters so no single point of failure causes data loss.

One popular use for Infinispan is as a shared store for stateful data, such as user HTTP sessions. Applications can stay lightweight and avoid heap usage by externalizing sessions to Infinispan clusters, which act as an independent data layer.

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Backup Across Data Centers

Infinispan clusters running in different geographical locations can form global clusters to back up your data across sites. If sites go offline clients can immediately switch to an available cluster, making sure data center faults do not cause service interruptions.

When using the Infinispan Operator with Kubernetes environments such as Red Hat OpenShift, cross-site replication capabilities make your data ready for hybrid and multi cloud deployments.

Infinispan also guarantees data consistency when using cross-site replication, even in cases where clients make concurrent writes at different locations that use asynchronous replication. So your data is always there and always accurate, no matter where you’re running.

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Featured Use Cases

Recent Blog Posts

Infinispan Node.js client supports authentication

June 29, 2021

By Katia Aresti

hotrod Node.js client javascript release

Node.js Client 0.9.0 Infinispan Node.js client version 0.9.0 was released last week with added support for different SASL authentication mechanisms. Up to now, our Node.js client could connect to Infinispan Server security realms with disabled authentication. DIGEST-MD5 ...

An Infinispan .Net Core client over the Hot Rod protocol

June 21, 2021

By Vittorio Rigamonti

hotrod .Net Core client C#

Dear Infinispanners, The Infinispan team would like to share a new project we’re working on: Infinispan.Hotrod.Core. Our current .NET client is based on the C++ core implementation, which is a solution that has its pros and cons. It makes it easier to guaran...

Infinispan (Red Hat Data Grid) featured again in Red Hat Developers

June 08, 2021

By Katia Aresti

redhat datagrid quarkus operator

Dear Infinispan Community, The Infinispan team is pleased to share the follow up article published on the Red Hat Developer blog. Part two of a two-part series of articles, this blog post focuses on how the Infinispan Operator was used to create all the configuration and ...