BenchRank
#26 in Data Pipelines & ETLUpdated 2026-08

PeerDB

by PeerDB · Postgres change data capture into warehouses and queues

BenchRank score

42.7 — BenchRank score out of 100

Screenshots of PeerDB

Homepage · PeerDB

Homepage of PeerDB

Overview

PeerDB replicates data out of Postgres into data warehouses, queues and storage, using change data capture from the Postgres replication slot alongside streaming queries. Initial loads run in parallel using transaction snapshotting and CTID scans. It is offered as free open-source software or as PeerDB Cloud, which replicates Postgres into ClickHouse Cloud.

Best for
Data teams moving Postgres data into ClickHouse Cloud, other warehouses or queues
Pricing
The open-source version is free; PeerDB Cloud offers a free trial then costs $250, $1,000, $2,000 or $4,000 per month depending on instance size.
Runs on
WebSelf-hosted

Strengths and trade-offs

Strengths

  • Free open-source version alongside the managed cloud service
  • Replication lag stated as starting at around 10 seconds
  • Handles schema changes, TOAST columns and partitioned tables
  • Alerts for replication slot growth and connections

Trade-offs

  • Cloud plans cover only Postgres to ClickHouse Cloud since July 2024
  • Cloud starts at $250/month after the trial; no ongoing free plan
  • SLA support and implementation help begin at the $1,000/month tier
  • Speed comparisons with Fivetran and Airbyte are PeerDB's own figures

How PeerDB markets itself

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

Homepage capture

“Fast, simple, and cost effective Postgres replication”

  • Angle: ROI / cost-saving
  • Hero: Illustration

Pricing

Published plans and prices from PeerDB’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 PeerDB 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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