proomt

Search

Search posts, papers, and topics

All posts

RedisAdriano Amaral5 min readintermediate

Search on Flex comes to Redis Cloud Pro: same Search API, a fraction of the RAM

Read on redis.io

Summary

Redis Cloud Pro now offers Search on Flex, allowing Redis Search indexes to reside on tiered RAM/SSD storage and reducing RAM usage to about 10% of a pure in‑memory index. The feature uses the same Search API, adds Query Performance Factor for throughput, and targets terabyte‑scale workloads without code changes.

  • Search indexes can be stored on Redis Flex tiered storage, cutting RAM usage to roughly 10% of an equivalent in‑memory index.
  • The same Redis Search API (FT.CREATE, FT.SEARCH, etc.) works unchanged; no code modifications are needed.
  • Query Performance Factor spreads query execution across vCPUs, targeting ~10× in‑memory latency at 10% RAM footprint.
  • Preview supports HASH, TEXT, TAG, and VECTOR (HNSW/FLAT) fields; other field types will be added later.

Engineers building large‑scale search or retrieval workloads on Redis can now stay on a single platform and cut costs without rewriting their queries.

5/10
searchredisvector searchflextiered storage

Related reading

  2. Elastic announces GA of cross-project search on Serverless, enabling teams to query across all linked projects without moving a byte

    Elastic Cloud Serverless now offers General Availability of Cross‑Project Search (CPS), letting you run a single query across up to 100 linked projects (any region, cloud, or solution type) without moving data. Setup is UI‑driven, permissions are evaluated per‑project, and costs are $0.009 / GB retained plus $0.05 / GB egress. CPS works for Observability, Security, Search, vector DB, and ML jobs,…

    Elasticelastic.co6 minrelease

  4. Announcing Native BM25 Ranking in AlloyDB and Cloud SQL

    Google Cloud adds native BM25 ranking to AlloyDB and Cloud SQL (PostgreSQL 17+) via the open‑source pg_textsearch extension, letting you run keyword‑based full‑text search inside the database. This removes the need for a separate search backend and, on AlloyDB, speeds up vector queries up to 10×.

    Google Cloud Bloggoogle.com2 min

  5. Introducing TIN: full-text search for Postgres

    PlanetScale’s TIN is a new PostgreSQL extension that implements a full‑text search index supporting Boolean, phrase, span, fuzzy, wildcard, regex, case/accent folding, COUNT(*) and BM25 top‑k queries. In a suite of benchmarks on an i7i.8xlarge EC2 instance (8 vCPU, 32 GB RAM), TIN built in 8 min 10 s (50.7 GB index) and outperformed ParadeDB, pg_textsearch and the built‑in GIN index by large marg…

    PlanetScaleplanetscale.com15 minHN20175