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 flexible distributed key-value database that is optimized for caching and other realtime workloads.
FoundationDB - the open source, distributed, transactional key-value store
- key-value-store
- transactional
- acid
- distributed-database
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
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
- python
- cache
- persistence
- key-value-store
Embedded key-value store for read-heavy workloads written in Go
- go
- key-value
- hash-table
- key-value-store
A RocksDB compliant high performance scalable embedded key-value store
- key-value-store
- kvs
- storage-engine
- speedb
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
Elixir embedded key/value database
ZoneTree is a persistent, high-performance, transactional, ACID-compliant ordered key-value database and LSM-tree storage engine for .NET.
- lsm-tree
- key-value-store
- atomicity
- consistency
A clojuresque key-value/document store protocol with core.async.
- konserve
- key-value-store
- clojure
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.