infinispan
Infinispan is an open-source, distributed in-memory database that stores and manages data across clustered nodes with support for both volatile caching and persistent storage. It handles key-value operations, offers vector database capabilities, and scales elastically while maintaining high availability and fault tolerance.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | infinispan/infinispan |
| Owner | infinispan |
| Primary language | Java |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.3k |
| Forks | 653 |
| Open issues | 444 |
| Latest release | 16.2.1 (2026-06-04) |
| Last updated | 2026-07-08 |
| Source | https://github.com/infinispan/infinispan |
What infinispan is
Java-based distributed data grid providing in-memory storage with optional persistence, clustering via network distribution, and NoSQL querying (including semantic/vector search). Supports JVM 17–25 and deploys as embedded library or standalone server with configurable consistency and replication semantics.
Get the infinispan source
Clone the repository and explore it locally.
git clone https://github.com/infinispan/infinispan.gitcd infinispan# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Cluster topology and replication strategy (synchronous vs. asynchronous, consistency levels) must be designed upfront; misconfiguration degrades both performance and fault tolerance.
- Embedded vs. server mode trade-off: embedded reduces network latency but complicates dependency management and scaling; server mode requires separate infrastructure.
- Memory sizing and eviction policies are critical; unbounded growth causes node failures; monitor heap usage and configure appropriate expiration/max-entries.
- Persistence configuration (RocksDB, JDBC, etc.) adds latency and storage overhead; evaluate impact on write throughput for your access patterns.
- Java version lock-in (JVM 17–25) and Maven Central dependency management require compatible build infrastructure.
When to avoid it — and what to weigh
- ACID Transactions Required — If your workload demands strong ACID guarantees and distributed transactions, Infinispan's eventual consistency model and limited transactional scope may not suffice.
- Complex SQL Queries — Not suited for applications heavily dependent on complex SQL joins, aggregations, or relational schemas; Infinispan is primarily key-value with optional Ickle query language.
- Small Single-Node Deployments — Overhead of clustering, replication, and distributed coordination makes Infinispan impractical for simple single-server caching; lighter libraries (Redis, Memcached) are more efficient.
- Non-JVM Ecosystems — Primary language is Java with JVM requirement (17–25); integration into purely non-JVM stacks requires client libraries and network protocols, adding operational complexity.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), an OSI-approved permissive open-source license. Commercial use, modification, and distribution are permitted under standard Apache 2.0 terms.
Apache 2.0 explicitly permits commercial use, modification, and distribution. No commercial license agreement or proprietary restrictions are evident from the repository. Verify any vendor support or SLA requirements separately, as they are not covered by the license itself.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
No explicit security vulnerabilities or audit details are provided in the data. Review official security policy, check CVE history, and verify authentication/encryption mechanisms (TLS, SASL) are enabled in production. Cluster-internal communication should be encrypted and authenticated; evaluate network isolation requirements. OpenSSF Best Practices badge suggests baseline security practices are documented.
Alternatives to consider
Redis
Simpler, single-threaded, lower operational overhead for pure caching; lacks built-in clustering and Java-ecosystem integration; no persistence-as-default model.
Apache Ignite
Similar distributed data grid capabilities with stronger SQL support and in-memory computing (compute grid); comparable complexity; more mature machine-learning integrations.
Memcached
Ultra-lightweight, pure cache-only, minimal configuration; no persistence, no advanced query, no replication; ideal for simple session stores in non-critical paths.
Build on infinispan with DEV.co software developers
Start with the official getting-started guide at infinispan.org. Assess your clustering, persistence, and consistency requirements. Contact our team if you need help architecting a distributed cache or NoSQL layer for your platform.
Talk to DEV.coRelated open-source tools
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Related on DEV.co
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infinispan FAQ
Can I use Infinispan without a JVM?
Is Infinispan suitable for a multi-datacenter setup?
How does Infinispan differ from a traditional SQL database?
What is the licensing cost?
Software developers & web developers for hire
DEV.co helps companies turn open-source tools like infinispan into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your vector databases stack.
Ready to Evaluate Infinispan for Your Infrastructure?
Start with the official getting-started guide at infinispan.org. Assess your clustering, persistence, and consistency requirements. Contact our team if you need help architecting a distributed cache or NoSQL layer for your platform.