What Infinispan does

Infinispan is an open-source, distributed, in-memory database project that provides elastically scalable, highly available data replication with ACID transactions, full-text search, and vector similarity (kNN) search. The project is offered in two deployment modes: an embedded Java library for in-process sub-millisecond access, and a standalone server accessed via the proprietary Hot Rod binary protocol, REST, the Redis Protocol (RESP), and Memcached. Distribution is via the Apache 2.0 license through Maven Central, Docker Hub / Quay.io container images, and GitHub Releases, with Kubernetes Operator and Helm chart support for cloud-native deployment on OpenShift and AWS.

The platform serves enterprise developers and architects building high-performance distributed applications, with secondary traction in AI/ML workloads via the dedicated 'Infinispan for AI' module that integrates with Spring AI, LangChain, and LangChain4j for semantic caching and Retrieval-Augmented Generation pipelines. Notable downstream dependencies include Keycloak (session management), Hibernate OGM (second-level cache), and WildFly (distributed caching in Java EE/Jakarta EE). Leadership comprises project lead Tristan Tarrant and core engineer William Burns, with the founding date recorded as 2009 and version 4.0.0 'Starobrno' as the first documented public release.

There is no direct commercial entity behind Infinispan. The project moved to the nonprofit Commonhaus Foundation in 2024 for neutral governance and is community-driven with multi-organization contributions, historically including Red Hat, which sells a commercial support and feature package as Red Hat Data Grid. Accordingly, the project's own revenue model is open-source distribution under Apache 2.0 with no separately disclosed pricing, and commercial monetization is conducted by a third party rather than by the project itself.

Name

Infinispan

Legal name

Infinispan

Website

https://infinispan.org

Company type

Private

Founded year

2009

Operating status

Operating

Short description

Infinispan is an Apache 2.0 open-source, distributed in-memory database project offering embedded and server deployments with ACID transactions, full-text and vector search, and multi-protocol client access, used by enterprise developers and frameworks such as Keycloak, Hibernate, and WildFly.

Ownership category

akta.pro rank

Product category

Distributed In-Memory Database

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

In-Memory Databases (HDAEAAAD)

akta.pro secondary industry

Search / Index Databases (HDAEAAAK)

Keywords

• Distributed in-memory database
• Key-value NoSQL data store
• Distributed cache software
• Vector search database
• Open source data grid

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Others

Revenue model

1. Open Source Community Distribution: Infinispan is freely available under the Apache 2.0 open source license. The project is maintained by the community and supported by contributors from multiple organizations. Commercial support and enterprise features are available through Red Hat Data Grid.

Go-to-market motion1 record

Distribution channels4 records

Marketing channels7 records

Core offering

Infinispan is an open-source, distributed, in-memory database that delivers sub-millisecond data access, elastic horizontal scalability, and ACID transactions. It is offered both as an embedded Java library and as a standalone server accessible via Hot Rod, REST, Redis (RESP), and Memcached protocols. Recent releases add full-text and kNN vector search capabilities to support AI workloads such as semantic caching and RAG pipelines.

Product overview

Infinispan is an open-source, distributed, in-memory database platform providing both embedded library and standalone server deployment options. The core product includes distributed caching with full-text and vector search capabilities, accessible via multiple protocols (HotRod, REST, Redis, Memcached). The platform includes specialized modules for AI workloads (vector search, semantic caching, RAG), cloud-native deployment (Kubernetes Operator, Helm charts), and enterprise integrations (Quarkus, Spring Boot, LangChain, Kafka, Spark). Recent versions (16.1+) introduced container eviction for shared memory management, while version 16.2 adds dynamic eviction that responds to JVM memory pressure. The product supports deployment as embedded library for sub-millisecond local access or as replicated/clustered server for distributed scenarios.

Differentiator

Problem solved

Functional benefit

Brands

• Infinispan for AI: AI-focused capabilities including vector search, semantic caching, RAG (Retrieval Augmented Generation), and conversation memory for next-generation AI applications with native integrations with Spring AI, LangChain4j, and LangChain.

Products and services

• Infinispan Server Standalone distributed server providing an elastically scalable, highly available in-memory data store with full-text and vector search, accessed via Hot Rod, REST, Redis, or Memcached protocols.
• Infinispan Embedded Library Embedded in-memory data store library that runs inside the same JVM as the host application for sub-millisecond local access and application performance acceleration.
• Infinispan for AI AI-focused capabilities including vector similarity search, semantic caching, RAG support, and conversation memory, with native integrations for Spring AI, LangChain4j, and LangChain.
• Hot Rod Protocol Clients Language-specific client libraries for the Hot Rod binary protocol, available for Java, C++, .NET, JavaScript, Go, Ruby, and Python to enable cross-language access to Infinispan clusters.
• Infinispan Kubernetes Operator Kubernetes Operator for cloud-native deployment and lifecycle management of Infinispan clusters, distributed as container images via Docker Hub and Quay.io.

Named customers3 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration16 records

AI capability4 records

Feature7 records

Partnerships

Eight partnerships are on record, tiered core.

• QuarkuscoreTechnology or IntegrationQuarkus Infinispan client extension provides native Infinispan Hot Rod integration for Quarkus applications. This integration allows Quarkus developers to easily connect to Infinispan clusters using the Hot Rod protocol.
• Spring BootcoreTechnology or IntegrationSpring Boot integration enables Infinispan usage within Spring applications, providing caching support and distributed cache capabilities for Spring-based microservices.
• LangChaincoreTechnology or IntegrationOfficial LangChain integration provides vector store capabilities, enabling Infinispan to serve as a backend for AI/ML applications requiring semantic search and RAG pipelines.
• LangChain4jcoreTechnology or IntegrationJava-native LangChain4j integration enables embedding store functionality for AI workloads, supporting vector similarity search use cases in JVM-based applications.
• MicronautcoreTechnology or IntegrationMicronaut Infinispan caching support provides native integration for Micronaut framework applications, enabling distributed caching capabilities.
• Commonhaus FoundationcoreOthersInfinispan joined the Commonhaus Foundation to provide neutral governance, foster collaboration, and support enterprise adoption. The foundation provides a collaborative environment where organizations and contributors can participate equally.
• Hibernate OGMcoreTechnology or IntegrationHibernate OGM (Object/Grid Mapper) project integrates with Infinispan to provide NoSQL-like capabilities using JPA-style APIs. Maintained by the Hibernate team.
• Redis Protocol (RESP)coreTechnology or IntegrationNative Redis protocol support allows existing Redis clients to connect to Infinispan servers, enabling easy migration from Redis to Infinispan's more feature-rich distributed caching.

Recent moves7 records

Expansion highlights5 records

Emerging players

• Pinecone: Pinecone is a managed vector database purpose-built for similarity search at scale, used heavily in RAG and semantic search pipelines. It overlaps with Infinispan's vector search capabilities as a competing choice for AI/ML embedding storage.

Direct peers

• Memcached: Memcached is a high-performance, distributed in-memory key-value cache that Infinispan explicitly emulates via its Memcached protocol endpoint. Both target sub-millisecond caching for read-heavy workloads, though Memcached lacks persistence and clustering sophistication.
• Aerospike: Aerospike is a distributed, real-time NoSQL in-memory database with hybrid memory architecture (RAM + flash). It competes with Infinispan for low-latency distributed key-value workloads at scale, particularly in ad-tech, financial services, and session-store use cases.
• Hazelcast: Hazelcast provides a distributed in-memory data grid with embedded and client/server deployment, similar elastic clustering, and near-cache functionality. It is one of the closest functional analogues to Infinispan in the Java in-memory data grid category.
• Redis: Redis is the most widely adopted in-memory key-value store/cache with optional persistence and clustering. Infinispan explicitly targets Redis via its native RESP protocol support and competes head-to-head on distributed caching and AI vector use cases.
• Apache Ignite: Apache Ignite is an open-source distributed in-memory database with ACID transactions, SQL, and compute grid capabilities. It overlaps directly with Infinispan's in-memory data grid positioning and competes for the same Java/enterprise workloads.
• Apache Geode: Apache Geode is an in-memory data grid that provides distributed, low-latency data management with strong consistency, originally commercialized as Pivotal GemFire. It targets the same enterprise Java in-memory data grid use cases as Infinispan.

Broad incumbents

• Couchbase: Couchbase is a distributed NoSQL document database with in-memory and disk-backed tiers, ACID transactions, and a managed cloud offering. It overlaps with Infinispan on distributed in-memory storage plus persistence for enterprise applications.
• AWS ElastiCache: AWS ElastiCache offers fully managed Redis- and Memcached-compatible in-memory caching. As a managed cloud incumbent, it competes with self-hosted Infinispan clusters on operational simplicity, particularly for AWS-native enterprises.
• Red Hat Data Grid: Red Hat Data Grid is the commercial product based directly on Infinispan, offering enterprise support, management consoles, and additional features. It is the primary commercialization vehicle for Infinispan and a backer/incumbent in the same space.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xtwitter.com/infinispan
• GitHubgithub.com/infinispan
• YouTubeyoutube.com/@InfinispanProject
• Facebookfacebook.com/infinispan

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Infinispan