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SPECIFICTION
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LinkedIn Databus vs Sequin

LinkedIn Databus

github.com

Sequin

sequinstream.com

Side by side

FigureLinkedIn DatabusSequin
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Change Data Capture Software8.2 (#7)7.9 (#12)
Database supportThe project README describes Oracle sources, and its wiki documents a MySQL adapter as a proof-of-concept implementation.The database reference says PostgreSQL 14 or higher is supported and versions 12 and 13 are soft-supported with limitations.
DeliveryThe wiki describes guaranteed in-order, at-least-once delivery with high availability.The product describes 100% delivery with automatic retries, strict ordering, and exactly-once processing using idempotency keys.
LicenseThe repository identifies Databus as licensed under Apache 2.0.The maker says Sequin is open source under the MIT license.
ProductDatabus is a source-agnostic distributed change data capture system.Sequin captures changes from Postgres and streams them to destinations such as Kafka, queues, search indexes, and HTTP endpoints.

Plans

LinkedIn Databus

  • Databus (Apache 2.0 open source)Free

LinkedIn Databus pricing →

Sequin

  • Self-hosted SequinFree

Sequin pricing →

In their own words

LinkedIn Databus

LinkedIn Databus is a self-hosted, source-agnostic distributed change data capture system. It captures and transports changes to primary data so downstream systems can process them. Relays serve change events, clients process them, and bootstrap servers supply historical events for consumers catching up. Consumers can begin at an arbitrary point in the stream, use full-data bootstrap, and consume partitions while preserving source consistency.

The project describes in-order, at-least-once delivery with high availability, low-millisecond transport latency, and throughput of thousands of events per second per server. It supports Oracle sources and has been used for search and social-graph indexes and member-profile read replicas. The wiki documents a MySQL adapter as a proof of concept, not a LinkedIn production deployment. Databus is free, licensed under Apache 2.0, and available for self-hosting. Building it requires Gradle 1.0 or later and Oracle's ojdbc6 driver version 11.2.0.2.0, which is obtained under the Oracle Technology Network License. The repository points to a wiki for documentation and examples; it does not state a support service.

Visit github.com

Sequin

Sequin streams changes from PostgreSQL to destinations such as Kafka, Redis, queues, search indexes, and webhooks. It runs as a Docker image alongside the database and can be started with Docker Compose, so deployment is self-hosted. Users can filter and transform changes, add data from Postgres, and route results to destinations including AWS SQS, GCP Pub/Sub, NATS, Elasticsearch, Typesense, and Meilisearch. Backfills can start at the beginning of a table or a chosen point, and can replay selected rows. Sequin describes delivery as using automatic retries, exponential backoff, strict ordering, and exactly-once processing. Sinks can be managed through a console, CLI, YAML configuration, or API. Monitoring includes a Prometheus metrics endpoint and Grafana dashboard. PostgreSQL 14 or later is supported; versions 12 and 13 have limitations. Sequin is open source under the MIT license, with a listed self-hosted plan at free. Sequin Cloud shut down on October 23, 2025; the project continues in maintenance mode with security patches and critical bug fixes.

Visit sequinstream.com