LinkedIn Databus vs Tantor Low-Code CDC
LinkedIn Databus
github.comTantor Low-Code CDC
tantor.aiSide by side
| Figure | LinkedIn Databus | Tantor Low-Code CDC |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Change Data Capture Software | 8.2 (#7) | 6.8 (#18) |
| Database support | The project README describes Oracle sources, and its wiki documents a MySQL adapter as a proof-of-concept implementation. | The maker's CDC page lists Oracle, PostgreSQL, SQL Server, MongoDB, and MySQL as supported sources. |
| Headquarters | Sunnyvale, California, United States | India |
| Intended users | The project describes use in data architectures that route primary database changes to derived stores such as indexes, caches, and read replicas. | Tantor describes its platform as serving regulated industries including BFSI, healthcare, and utilities. |
| Purpose | It captures, transports, and processes changes to primary data so they can flow to downstream systems. | Tantor Low-Code CDC provides a visual interface for streaming row-level database inserts, updates, and deletes into governed pipelines without writing code. |
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.
Tantor Low-Code CDC
Tantor Low-Code CDC provides a visual way to stream database inserts, updates, and deletes into governed pipelines without writing code. Users select source tables and choose capture operations and masking rules through guided controls. The product detects and masks personally identifiable information before downstream delivery and handles source schema changes automatically. Each captured change carries row-level lineage for auditability. Tantor names Oracle, PostgreSQL, SQL Server, MongoDB, and MySQL as supported sources. Its broader CDC platform uses log-based capture from transaction logs without triggers or queries, and says changes reach its federation layer and AI agents in under 60 seconds. Captured changes are immutably logged with what changed, when, where it came from, and who consumed it. Governed data can flow to lakehouses, agents, and analytics. Deployment supports on-premises, private cloud, and air-gapped environments, with a hybrid model. Tantor describes regulated-industry use, including BFSI, healthcare, and utilities. Pricing is on request; the page offers a demo and no free plan or trial.