Sequin

Capabilities

• Broad Postgres-to-sink streaming Sequin streams Postgres inserts, updates, and deletes to streaming platforms, queues, search indexes, and webhook endpoints, with documented sink guides for Kafka, SQS, SNS, Kinesis, Pub/Sub, NATS, RabbitMQ, Redis, Elasticsearch, Typesense, Meilisearch, Azure Event Hubs, S2, Sequin Stream, and webhooks.[1][2][3]

• Backfills plus realtime streaming Sequin backfills existing rows at any point in time, including partial backfills of selected rows, and then continues streaming new changes in real time.[1][2]

• Exactly-once ordered delivery Sequin promises 100 percent delivery of database changes with strict ordering and exactly-once processing using idempotency keys.[1]

• Docker deployment beside Postgres Sequin deploys as a standalone Docker container next to the operator's database, works with any Postgres version 12 and above without being an extension, and ships Terraform templates for AWS production deployments.[1][2]

• Enrich, filter, transform, route Sequin can enrich changes by joining back to Postgres data, filter changes in or out, transform payloads with custom code, and route messages to specific topics, endpoints, or indexes.[1][2]

• Vendor-published 50k ops/s benchmark Sequin's README publishes a vendor-run benchmark of over 50,000 operations per second sustained throughput at 55ms average latency and 253ms p99, compared in the same table against Debezium on MSK, Debezium Server, Fivetran, and Airbyte.[1]

• Prometheus and Grafana observability Sequin exposes a Prometheus metrics endpoint and ships a Grafana dashboard for sink observability.[1]

• MIT-licensed open source Sequin is released under the MIT License, copyright Sequin Labs, Inc. 2024, and its README describes the project as open source.[1][2]

Who will love it

• Realtime event-streaming teams Teams that want database changes as realtime events for other services will love Sequin, because it streams row changes directly to Kafka, SQS, Pub/Sub, and webhooks with ordered exactly-once delivery instead of polling the database.[1][2]

• Cache and search-index sync Teams keeping caches or search indexes fresh will love Sequin, because its documented use cases and sink guides cover Redis-backed caches alongside Elasticsearch, Typesense, and Meilisearch sync with sub-second-latency positioning.[1][2][3]

• Audit logging from row changes Teams building audit or compliance logs from database activity will love Sequin, because it records every change, can enrich changes with related Postgres data, and retains a documented change-retention model.[1][2]

Who should think twice

• Postgres sources only Sequin is documented as a Postgres change data capture platform; teams whose source data lives outside Postgres will not find a non-Postgres source in the reviewed pages and should look at multi-source ELT tools instead.[1][2][3]

• No observed managed or SSO offering Teams that require a vendor-managed SLA, documented single sign-on, or a published support plan should pause, because the reviewed pages show only self-hosted Docker operation plus community Slack and Discord links, with no managed-hosting, SSO, or enterprise-support documentation observed.[1][2]

• Vendor-published performance figures Teams should treat the 50k ops/s and 55ms figures as vendor-published rather than independently verified, since they come from Sequin's own benchmark table and the detailed methodology lives on its docs performance page.[1]

Fit and compatibility