caffeine
A high-performance, near-optimal in-memory caching library for Java with a Guava-inspired API.
What is caffeine?
Caffeine is a high-performance, near-optimal caching library for Java that provides an in-memory cache with a Google Guava-inspired API. It solves the problem of efficiently managing cached data with features like size-based eviction, time-based expiration, and asynchronous refresh, designed to maximize cache hit rates and minimize latency.
Java developers building applications that require efficient in-memory caching, such as web servers, data processing systems, and high-throughput services where low-latency data access is critical.
Developers choose Caffeine for its superior performance and near-optimal efficiency, backed by advanced eviction policies like TinyLFU, a flexible and familiar API, and seamless integrations with popular Java frameworks like Spring and Micronaut.
Overview
A high performance caching library for Java
Use Cases
Best For
- Implementing high-performance in-memory caches in Java applications
- Reducing latency in web servers and microservices with frequent data access
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