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
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
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.