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.
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
Fast persistent recoverable log and key-value store + cache, in C# and C++.
- key-value-store
- hash-table
- persistent
- recoverable
Simple key-value storage with support for multiple backends
An asynchronous, persistent key-value store for .NET desktop and mobile applications, backed by SQLite. Suited to both durable data such as user settings and cached data that expires, with optional encryption and System.Text.Json serialization.
- c-sharp
- cache
- reactive-extensions
- reactive-programming
ets based key/value cache with row level isolated writes and ttl support
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
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.