HubLensTrendingpingcap/tiflow
// archived 2026-04-27
pingcap

tiflow

Database#TiDB#Data Migration#CDC#Kafka#MySQL
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457

// summary

TiFlow is a unified data replication platform designed specifically for the TiDB ecosystem. It integrates TiDB Data Migration for moving data from MySQL or MariaDB and TiCDC for streaming change data to downstream systems. The platform supports various destinations including Kafka and other MySQL-compatible databases.

// technical analysis

TiFlow is a unified data replication platform designed to facilitate seamless data movement for TiDB environments. By integrating TiDB Data Migration (DM) and TiCDC, the project addresses the critical need for both initial full-scale data ingestion and continuous incremental synchronization. This architecture allows users to bridge the gap between heterogeneous databases like MySQL or MariaDB and TiDB, while also enabling downstream data streaming to systems like Kafka, ensuring high data availability and flexible ecosystem integration.

// key highlights

01
Provides TiDB Data Migration (DM) to support full and incremental data replication from MySQL or MariaDB sources.
02
Includes TiCDC functionality to stream change data to downstream systems compatible with MySQL protocols.
03
Enables integration with Kafka, allowing for robust event-driven data pipelines and downstream consumption.
04
Offers a unified platform approach to simplify complex data migration and synchronization workflows for TiDB users.
05
Operates under the Apache 2.0 license, ensuring an open and permissive environment for enterprise adoption.

// use cases

01
Full data migration from MySQL or MariaDB to TiDB
02
Incremental data replication to TiDB
03
Change data capture and streaming to Kafka or MySQL-compatible systems

// getting started

To begin using TiFlow, users should consult the dedicated README files for DM and TiCDC located within the repository for specific component instructions. Developers can explore the project's capabilities by reviewing the documentation on DeepWiki or by examining the source code for the respective migration and replication tools.