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.

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Infinispan 13.0.5

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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

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

Querying Infinispan with the new .NET core client

January 21, 2022

By Vittorio Rigamonti

hotrod .Net Core client C# query query

Dear Infinispanners and .NET Core lovers, Time has passed, keys have been pressed and features have been implemented since we presented, some months ago, the new .NET core client project. To show you our progress with the project we’ve decided to write a demo/tutori...

Infinispan and Log4j CVE-2021-45046 CVE-2021-45105

December 23, 2021

By Ryan Emerson

release

Dear Infinispan community, We’ve just released 13.0.5.Final, 12.1.10.Final and 11.0.14.Final to address the latest CVEs that affect log4j-core (CVE-2021-45046, CVE-2021-45105). Additionally, we have released upgraded versions of the Infinispan Operator to match the ...

Infinispan and Log4j CVE-2021-44228

December 13, 2021

By Tristan Tarrant

release

Dear Infinispan community, We’ve just released 13.0.3.Final, 12.1.8.Final and 11.0.13.Final to address the very serious CVE that affects log4j-core. Additionally, we have released upgraded versions of the Infinispan Operator to match the server versions: 2.2.2.Final...