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Verified Sep 2026

The in-memory data store

Sub-millisecond data structures for caching, queues, pub/sub and now vector sets.

Salvatore Sanfilippo's in-memory data store (2009): strings, hashes, streams, pub/sub, and now vector sets, the multi-tool of backend infrastructure (cache, queue, session, rate-limit). License saga resolved under AGPL/Redis 8 with JSON/TS support.

Who it's for

Teams that need in-memory speed for caching, queues, sessions and real-time features.

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Redis implements

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Redis features

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Redis uses

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Redis works with

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