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
Open-source, low-latency key/value engine built on Valkey with query subscriptions and hierarchical storage tiers.
Fast persistent recoverable log and key-value store + cache, in C# and C++.
- key-value-store
- hash-table
- persistent
- recoverable
TranslatedA Golang implemented Redis Server and Cluster.
- kv-cache
- golang
- redis-server
- redis
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
- python
- cache
- persistence
- key-value-store
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
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
- database
- drop-in-replacement
- in-memory
- kividb
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
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.