LinkedIn Databus
6.2#13 in change data capture softwareFree planFree planWebAPISelf-hosted
VisitLinkedIn Databus vs TiCDC
What both publish
| Fact | LinkedIn Databus | TiCDC |
|---|---|---|
| Founded | 2015 | 2015 |
| Headquarters | Sunnyvale, California, United States | Sunnyvale, California, USA |
| Intended users | The project describes use in data architectures that route primary database changes to derived stores such as indexes, caches, and read replicas. | Documented use cases include disaster recovery, real-time data feeds for monitoring, caching, indexing and analysis, and replication between heterogeneous databases. |
LinkedIn Databus plans
- Databus (Apache 2.0 open source)Free
TiCDC plans
- TiCDC (open-source)Free
Pick LinkedIn Databus if…
Databus suits teams routing primary database changes to derived stores, including indexes, caches, and read replicas. It is intended for self-hosted data architectures that need replay and bootstrap capabilities.
Pick TiCDC if…
TiCDC suits teams operating TiDB that need change-data feeds, cluster replication, or downstream data for monitoring, caching, indexing, and analysis. It is self-hosted and supports API and Linux environments.