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1–21 of 21 · Most stars

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

☔️ A complete Go cache library that brings you multiple ways of managing your caches

CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.

:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!

Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!

  • blazor
  • blazor-server
  • blazor-webassembly
  • realtime

GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.

TranslatedDistributed Transactional In-Memory Database (the world's first MongoDB that supports distributed transactions)

A set of Rack middleware and cache helpers that implement various caching strategies.

In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.