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CLUSTER APPLICATIONS-BUILDING-DATA · 3 ENTRIES · EARLIEST ENTRY unknown

Serverless Redis data platforms

This cluster consists of serverless data platforms that provide managed Redis, vector database, and message queue services for low-latency real-time applications. The dated history is too thin to read a shape from, as only zero dated entries exist before the index start and three members have no source date. Upstash: Serverless Data Platform leads on traction with zero stars.

Entry timeline

ENTRY TIMELINE

AUG 2026: 3
AUG 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 3 unlabelled

Operator · 3 commercial

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01Upstash: Serverless Data Platform0★unknownlivecommercialServerless data platform offering managed Redis, vector database, and message queue services for building low-latency real-time applications.
  2. 02Upstash: Serverless Data Platform0★unknownlivecommercialServerless data platform offering managed Redis, vector database, and message queue services for building low-latency real-time applications.
  3. 03Upstash: Serverless Data Platform0★unknownlivecommercialServerless data platform offering managed Redis, vector database, and message queue services for building low-latency real-time applications.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.