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Caffeine is a high performance, near optimal caching library. For more details, see our user's guide and browse the API docs for the latest release.


Caffeine provides an in-memory cache using a Google Guava inspired API. The improvements draw on our experience designing Guava's cache and ConcurrentLinkedHashMap.

LoadingCache<Key, Graph> graphs = Caffeine.newBuilder()
    .build(key -> createExpensiveGraph(key));

Features at a Glance

Caffeine provides flexible construction to create a cache with a combination of the following optional features:

In addition, Caffeine offers the following extensions:

Use Caffeine in a community provided integration:

Powering infrastructure near you:

  • Dropwizard: Ops-friendly, high-performance, RESTful APIs
  • Cassandra: Manage massive amounts of data, fast
  • Coherence: Mission critical in-memory data grid
  • Accumulo: A sorted, distributed key/value store
  • Kafka: A distributed event streaming platform
  • HBase: A distributed, scalable, big data store
  • Apache Solr: Blazingly fast enterprise search
  • Infinispan: Distributed in-memory data grid
  • Redisson: Ultra-fast in-memory data grid
  • OpenWhisk: Serverless cloud platform
  • Corfu: A cluster consistency platform
  • Grails: Groovy-based web framework
  • Finagle: Extensible RPC system
  • Neo4j: Graphs for Everyone
  • Druid: Real-time analytics

In the News


Download from Maven Central or depend via Gradle:


// Optional extensions

For Java 11 or above, use 3.x otherwise use 2.x.

See the release notes for details of the changes.

Snapshots of the development version are available in Sonatype's snapshots repository.

A high performance caching library for Java
最后更新于  1 days ago