BenchRank
#30 in DatabasesUpdated 2026-08

SlateDB

by SlateDB · Embedded key-value LSM database built on object storage

BenchRank score

47.5 — BenchRank score out of 100

Screenshots of SlateDB

Homepage · SlateDB

Homepage of SlateDB

Overview

SlateDB is an open-source embedded key-value database, implemented as an LSM tree, that persists data directly to object storage such as S3, R2 or GCS rather than local disks. It has a Rust core with Go, Java, Node and Python bindings, and offers single-writer, multi-reader deployment, transactional semantics, and zero-copy clones and branches.

Best for
Developers building online systems that need a key-value store backed by object storage
Pricing
No prices are shown; the page states only that SlateDB is Apache 2.0 licensed, free and open source.

Strengths and trade-offs

Strengths

  • Rust core with Go, Java, Node and Python bindings
  • Runs on S3, R2, GCS and most object stores
  • Apache 2.0 licensed, free and open source
  • Zero-copy clones, branches and rescaling

Trade-offs

  • Single-writer, multi-reader only — no multi-writer deployment
  • An embedded library, so you run and operate it yourself
  • Support shown only via Discord and GitHub; no commercial offering stated

How SlateDB markets itself

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

Homepage capture

“Build reliably on object storage.”

  • Angle: Outcome / benefit-led
  • Hero: Illustration

Pricing

Published plans and prices from SlateDB’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.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • 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 SlateDB 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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