LinkedIn Databus vs Sequin
LinkedIn Databus
github.comSequin
sequinstream.comSide by side
| Figure | LinkedIn Databus | Sequin |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Change Data Capture Software | 8.2 (#7) | 7.9 (#12) |
| Database support | The 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. |
| Delivery | The 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. |
| License | The repository identifies Databus as licensed under Apache 2.0. | The maker says Sequin is open source under the MIT license. |
| Product | Databus 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
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.
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.