A high-performance data integration engine based on distributed architecture, supporting data synchronization between multiple heterogeneous data sources.

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Data Sync

Support high-performance and reliable mass data synchronization between multiple heterogeneous data sources, and support conversion between different data source types.

Data lakehouse

Support streaming batch integration and lake warehouse integration architecture, and use one unified framework to cover almost all data synchronization scenarios.


Based on Hadoop ecology, BitSail supports distributed horizontal expansion, and solves data synchronization in batch, stream, and incremental scenarios.

Schema Sync

Support flexible table structure synchronization between upstream and downstream data sources, including creating table and column level addition, deletion and modification.

Dirty Collector

Support collecting and displaying dirty data, and support expanding more kinds of data storage for storing dirty data.


The engine independent read-write interface supports efficient development.