WhaleTunnel provides a mature solution for enterprise usage dilemma in data integration scenarios such as multiple data sources with incompatible versions, difficulty in separate management and maintenance of batch stream services, and high data processing latency. At the same time, the self-developed engine solves the problems of large fault tolerance granularity, serious waste of resources, unstable data sources caused by too many JDBC connections, and does not support table structure changes and data caching in the synchronization process, so as to meet the usage requirements of data consumers more quickly, efficiently and accurately. It supports hundreds of data sources including cloud databases, and can meet the synchronization scenarios of batch, real-time, and CDC at the same time, and can seamlessly integrate data scheduling products into DataOps processes.