BenchRank
#41 in DatabasesUpdated 2026-08

KeyDB

by KeyDB · Multithreaded open source drop-in alternative to Redis

BenchRank score

37 — BenchRank score out of 100

Screenshots of KeyDB

Homepage · KeyDB

Homepage of KeyDB

Overview

KeyDB is an open source in-memory database, backed by Snap, offered as a drop-in alternative to Redis. It is multithreaded, benchmarking at over 1 million ops/sec on a single node, and supports the Redis data structures plus RDB and AOF persistence. Scaling is vertical per node, then horizontal through active replication or sharded cluster mode.

Best for
Teams running Redis workloads that need more throughput per node or multi-master replication
Pricing
No prices are shown; the page describes KeyDB as fully open source, with downloads via Docker, DEB/RPM packages and source builds.
Runs on
LinuxSelf-hosted

Strengths and trade-offs

Strengths

  • Multithreaded; a single node benchmarks above 1 million ops/sec
  • Drop-in alternative that maintains parity with the Redis feature set
  • Active-replica failover needs no separate sentinel nodes
  • MVCC lets SCAN and KEYS run without blocking other workloads

Trade-offs

  • Cross-region multi-master resolves conflicts by last write wins
  • FLASH storage, JSON, multi-tenancy and RAFT are roadmap, not shipped
  • TLS adds CPU overhead, offset only by running more worker threads

How KeyDB markets itself

A structured read of the promise, proof and page design on KeyDB’s captured homepage.

Homepage capture

“KeyDB - A Database Built for Scale”

  • Angle: Scale / performance
  • Hero: Typography only

Pricing

Published plans and prices from KeyDB’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The KeyDB pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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