Infinispan
Infinispan: A broad, Java-centered clustered data platform for self-hosted deployments. Ranked #24 of 31 in Key-Value Databases by our editors (7.3/10); pricing: Free plan; best for open-source Java-centric clustered data platforms.
At a glance
- Editor score7.3 / 10
- PricingFree plan
- Best forOpen-source Java-centric clustered data platforms
- Free planYes
- Paid fromFree
- Deployment modelSelf_hosted
- Facts checked22 Sep 2026
Where it wins
- Distributed and replicated cache modes with cross-site replication
- ACID transactions, persistence, expiration, and multiple search options
- Spring, Hibernate/JPA, Quarkus, Kubernetes, and OpenShift integrations
Where it doesn't
- Self-hosted deployment adds operational effort
- Its broad feature set may exceed the needs of simple caching projects
- Primarily suited to teams comfortable with Java and clustered infrastructure
Our verdict on Infinispan
Infinispan is an open-source distributed in-memory database and caching platform for applications that need low-latency data access, clustering, high availability, and replication across data centers. It is aimed particularly at Java-focused teams, with embedded-library and standalone-server deployment options. Client access spans Hot Rod, HTTP/REST, Redis-compatible RESP3, and Memcached protocols, giving applications several ways to connect. The platform combines caching and database capabilities rather than focusing only on a narrow key-value store use case.
Its strongest fit is an application stack that already uses Spring Boot, Spring Framework, Hibernate/JPA, JCache, Quarkus, Keycloak, WildFly, Apache Camel, Kubernetes, or OpenShift. Infinispan supports replicated and distributed clustered cache modes, persistent cache stores, passivation, entry expiration through lifespan and maximum-idle settings, and cross-site replication between geographically distributed clusters. Administration is available through Console, CLI, and metrics, while security includes authentication, authorization, and TLS. Search coverage includes full-text, relational, and vector search, extending it beyond basic retrieval and caching.
The trade-off is operational scope. Because Infinispan is self-hosted, teams take responsibility for deployment and ongoing operation rather than adopting a hosted database service. That makes it a stronger choice for organizations that need control over clustered data, persistence modes, transactions, security, and multi-region behavior, especially within a Java ecosystem. Teams seeking a simpler cache or a narrower key-value service may find its range of capabilities and infrastructure requirements unnecessary. Infinispan suits buyers who value open-source deployment flexibility and protocol choice over minimal administration.
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Infinispan pricing
Infinispan fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Maximum value size | Not verified |
| Persistence modes | Both |
| TTL support | Yes |
| Clustering support | Yes |
| Multi-region support | Yes |
| Supported protocols | Hot Rod, HTTP/REST, RESP3, Memcached |
| Deployment | Cloud, Self-hosted |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 9 integrations: Spring Boot, Spring Framework, Hibernate/JPA, JCache, Quarkus, Vert.x … |
| Pricing | Free plan |
| Website | infinispan.org |
| Facts checked | 22 Sep 2026 |
Infinispan integrations
Infinispan lists 9 integrations on its own site.
- Spring Boot
- Spring Framework
- Hibernate/JPA
- JCache
- Quarkus
- Vert.x
- Keycloak
- Apache Camel
- WildFly
Alternatives to Infinispan
- Amazon DynamoDBA mature AWS database for scalable key-value and document workloads.9.3
- Aerospike DatabaseA strong fit for high-scale, consistency-sensitive workloads across hybrid environments.9.1
- Google Cloud BigtableA scalable Bigtable service for analytical workloads, with broad integrations and usage-based pricing.9.0
See all Infinispan alternatives →
Also Ranked In
Infinispan is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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