KeyDB

KeyDB

KeyDB is an open source, high performance fork of Redis that supports additional data structures like Sorted Sets and Streams. It aims to be a faster, more modular alternative to Redis while maintaining compatibility.
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opensource redis keyvalue performance

KeyDB: Open Source, High Performance Fork of Redis

An open source, high performance fork of Redis with support for additional data structures like Sorted Sets and Streams, aiming to be a faster, more modular alternative to Redis while maintaining compatibility.

What is KeyDB?

KeyDB is an open source, high performance fork of Redis that supports additional data structures like Sorted Sets and Streams. It is developed by the Equilbrium company and aims to be a faster, more modular alternative to Redis while maintaining compatibility with Redis clients and data types.

Some of the key features of KeyDB include:

  • High performance - Benchmark tests show KeyDB outperforming Redis in terms of throughput and latency while using less memory in many workloads.
  • Backward compatibility - KeyDB aims to support the Redis protocol, clients and data types to make migration easy.
  • Additional data structures - KeyDB supports Sorted Sets and Streams which are commonly requested Redis features.
  • Modular architecture - The codebase is designed to be more modular to allow custom data types to be easily added.
  • Multi-threading - KeyDB utilizes multiple cores and threads to scale better compared to Redis's single-threaded design.

Overall, if you require Redis-like functionality with higher performance, the ability to handle more data volumes and workloads, and useful extensions like Sorted Sets, KeyDB warrants consideration as an open source alternative.

KeyDB Features

Features

  1. In-memory key-value store
  2. Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams
  3. Built-in replication and clustering
  4. Supports Lua scripting
  5. Persistence - RDB and AOF
  6. Transactions

Pricing

  • Open Source

Pros

Faster performance than Redis

Additional data structures like Sorted Sets and Streams

Modular architecture

Compatible with Redis clients and ecosystem

Active development

Cons

Less adoption than Redis

Smaller community than Redis

Not as battle-tested as Redis yet


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