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.
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A modern replacement for Redis and Memcached
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
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.
- cache
- cache-storage
- cluster
- concurrent
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
- go
- cache
- library
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Fast persistent recoverable log and key-value store + cache, in C# and C++.
- key-value-store
- hash-table
- persistent
- recoverable
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.
- java
- hazelcast
- in-memory
- big-data
Simple key-value storage with support for multiple backends
:package: Nothing but Cache.
- cache
- cache-storage
- disk-cache
- memory-cache
Extensible memoizing collections and decorators
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.