A unified data replication platform for TiDB, providing MySQL/MariaDB migration and change data capture to downstream systems.
TiFlow is a unified data replication platform for TiDB that consists of two main components: TiDB Data Migration (DM) and TiCDC. It enables full data migration from MySQL/MariaDB to TiDB and replicates change data to downstream systems like MySQL-compatible databases and Kafka. The platform solves the problem of seamless data movement and synchronization in distributed TiDB environments.
Database administrators, data engineers, and developers working with TiDB who need reliable data migration, replication, and change data capture capabilities.
Developers choose TiFlow because it provides a unified, TiDB-native solution for both batch migration and real-time CDC, eliminating the need for multiple disparate tools. Its tight integration with TiDB ensures optimized performance and consistency for distributed database workflows.
This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)
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Optimized specifically for TiDB's distributed architecture, ensuring data consistency and performance, as emphasized in the project philosophy for reliable data pipelines.
Combines DM for batch migration and TiCDC for real-time change capture in a single platform, simplifying data workflow management for TiDB environments.
DM handles full and incremental replication from MySQL or MariaDB sources, making it ideal for migrating legacy databases to TiDB with minimal downtime.
TiCDC replicates change data to Apache Kafka, enabling real-time data pipelines for event-driven architectures and analytics.
Heavily tied to TiDB; it doesn't support replication to or from other database systems beyond MySQL/MariaDB, limiting flexibility in heterogeneous environments.
TiCDC development is split between old and new architectures, with newer versions hosted separately, leading to potential confusion and maintenance overhead as noted in the README.
Primarily supports MySQL-compatible databases and Kafka; lacks native integration with modern data stores like cloud data warehouses or NoSQL databases.