Cache Servers
Introducing major server software and middleware in the Cache Servers category.
No | Name | Description | Trend | Difficulty | Ecosystem | Official Site |
---|---|---|---|---|---|---|
1 | Redis | High-performance in-memory key-value store. Functions as data structure server, cache, and message broker. Supports rich data types and atomic operations. | De facto standard for in-memory databases. Most chosen cache solution by developers, essential for real-time data processing. AGPLv3 license option added in 2024. | intermediate | mature | Official |
2 | Memcached | High-performance distributed memory object caching system. Simple key-value store specialized in lightweight operation. Multi-threaded support. | Veteran proven track record in web application acceleration. Can handle millions of requests per second with simple design and high performance. | beginner | mature | Official |
3 | DragonflyDB | Modern Redis & Memcached replacement. Multi-threaded architecture achieves linear scaling. 4.5x higher throughput and scalability according to CPU cores. | Most promising next-gen cache in 2024. Excels in high-concurrency, CPU-intensive workloads. Solves Redis single-thread bottleneck with CPU core scaling. | intermediate | growing | Official |
4 | Valkey | Redis-compatible open-source in-memory data store. Community-driven development as Linux Foundation project. Stability based on Redis 7.2. | Rapidly growing Redis alternative in 2024. Gained attention as response to Redis license changes. Optimal for 1-2 threads but performance limitations at high concurrency. | intermediate | growing | Official |
5 | Garnet | Next-generation cache-store from Microsoft Research. Built with .NET C#, supports Redis-compatible RESP protocol. Achieves extremely low latency (99.9% under 300μs). | Open-sourced in March 2024. Superior scalability and higher throughput than Redis/KeyDB. Proven in production at Microsoft for Windows and Azure environments. | intermediate | emerging | Official |
6 | Hazelcast | In-memory data grid for Java. Integrates distributed caching and real-time processing. Scales to hundreds of nodes, supports 1 million topics. | Highly rated in enterprise Java environments. Occupies important position in distributed data management for microservices architecture. | advanced | enterprise | Official |
7 | Caffeine | High-performance in-application caching library for Java. Successor to Guava Cache with optimized algorithms and rich features. | Most recommended local cache for Java developers. Default cache provider in Spring Boot 2.0+. Growing adoption with excellent hit rates and low latency. | beginner | mature | Official |
8 | KeyDB | Redis-compatible multi-threaded NoSQL database. Forked from Redis in 2019, achieving high performance with multi-threading support. | Pioneer in Redis multi-threading. Valued for balance of Redis compatibility and multi-threading, but has limitations at high concurrency. | intermediate | growing | Official |
9 | Apache Ignite | Distributed database, caching, and processing platform. Integrates SQL, NoSQL, and computing with memory-centric approach. ACID and transaction support. | Expanding adoption in big data processing and real-time analytics. High reliability as Apache Software Foundation top-level project. | advanced | enterprise | Official |
10 | Varnish Cache | High-performance HTTP accelerator. Reverse proxy cache that significantly reduces website response time. Flexible configuration with VCL (Varnish Configuration Language). | Widely adopted by high-traffic websites. Capable of handling 300,000 requests/second, plays important role in CDNs and media sites. | advanced | mature | Official |
11 | Ehcache | Open-source caching library for Java. Supports from in-application cache to distributed cache. Integrates with Hibernate, Spring Boot, etc. | Popular caching solution among Java developers. Standardly adopted in enterprise applications through integration with Spring Boot and Hibernate. | intermediate | mature | Official |