Fall releases are live for Redis for AI, Redis Cloud, & more.
Redis Query Engine extends Redis beyond simple key‑value lookups to deliver a powerful built-in query language for real‑time searches, indexing, and aggregations.
Read the eBook to learn how instantly indexing in Redis can eliminate bottlenecks and simplify architecture.
How Redis Query Engine overcomes exact key‑matching limitations by enabling rich query capabilities directly inside Redis.
Techniques for defining high‑performance indexes on JSON and hash documents in real time.
The supported query types—including multi‑field filters, full‑text, vector, geospatial, hybrid, and aggregated queries—and how they can be executed via FT.SEARCH and FT.AGGREGATE.
Performance advantages of Redis Query Engine, including multi‑threading, sub‑5‑ms response times, and up to 16x throughput improvements.
Native query engine built for Redis
Redis Query Engine adds a powerful query engine to Redis—supporting complex queries (multi‑field, vector, full-text, geospatial) directly in Redis. This eliminates the need for external search engines or client‑side logic.
Instant indexing
Indexes on JSON and hash documents are maintained automatically, enabling real‑time updates and queries without having to maintain the index.
Superior throughput & low-latency
Through multi‑threaded query execution, Redis Query Engine scales sub‑millisecond to low‑millisecond latency and delivers up to 16x higher throughput under load.
Build, query, and scale real-time at sub-ms speeds without leaving Redis.