#23 in Orchestration & SchedulingUpdated 2026-08

Sequin

by Sequin · Postgres change data capture streamed to queues, caches and search indexes

37 — BenchRank score out of 100

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Overview

Sequin captures Postgres changes from the write-ahead log and streams them to sinks including Kafka, SQS, Pub/Sub, Redis Streams, NATS, Elasticsearch and webhooks. It runs as a Docker container next to your database and uses Postgres itself to store sink state. Changes can be filtered, transformed, enriched by joining back to Postgres, and routed before delivery.

Best for: Teams streaming Postgres changes to queues, caches or search indexes without running Debezium
Pricing: The captured page shows no prices, only 'Try now' and self-hosted links.
Runs on: Self-hosted

Strengths and trade-offs

Strengths

Single Docker container, no Kafka required
Works with any Postgres 12+ and is not an extension
Exactly-once processing, strict ordering, 100% delivery guarantee
Web console, CLI, API and sequin.yml config as code

Trade-offs

You run and operate the container alongside your own Postgres
Requires Postgres 12 or newer
Listed sinks are operational only; no warehouse destinations shown
No pricing published on the captured 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: 0 out of 100
API quality: 10 out of 100
Documentation: 80 out of 100
Agent friendliness: 41 out of 100
Changelog: 55 out of 100
Marketing site structure: 85 out of 100
Operational trust: 15 out of 100

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: 85 out of 100
Maintenance: 70 out of 100

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