Redis 7 benchmarks 3-26% slower than 6

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. Redis

    Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

    On the latest example of that issue ( EVAL performance ) we're now at 6.2.6 levels as stated in:

    https://github.com/redis/redis/issues/10981#issuecomment-134...

    Furthermore, as stated in https://redis.com/blog/improving-redis-performance/, we're proactively improving Redis performance both on 7.0 and 7.2, with some cases reaching more than 5X boost in the achievable ops/sec on client p50 latency. This a work not only from Redis Ltd but multiple partners and even competitors =)

    Some examples of the Redis 7.0 and 7.2 development cycle performance improvements:

    - Use snprintf once in addReplyDouble. Measured improvement of simple ZADD of about 25%.

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  3. redis-benchmarks-specification

    The Redis benchmarks specification describes the cross-language/tools requirements and expectations to foster performance and observability standards around redis related technologies. Members from both industry and academia, including organizations and individuals are encouraged to contribute.

    - Optimized GEO commands ( GEODIST, GEOSEARCH BYBOX and BYRADIOUS ) leading to up to 5.4x more ops/sec and still drop in latency of up to 6.4X in the p50 latency.

    You can check the redis repo PRs that affect performance easily via: https://github.com/redis/redis/pulls?q=is%3Apr+label%3Aactio...

    Taking this opportunity to also remind that our goal (Redis Performance Teams) is to make Redis Performance open and free of bias in any manner. Anyone can contribute in https://github.com/redis/redis-benchmarks-specification either by asking for specific use-cases to be benchmarked, sharing how they're using Redis so we can map that to new benchmarks, and as always submitting PRs to redis itself.

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