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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Distributed reliable key-value store for the most critical data of a distributed system
- etcd
- raft
- distributed-systems
- kubernetes
Apache ZooKeeper
- zookeeper
- database
- hacktoberfest
- java
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
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.