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Optimized synchronization techniques using JDBC multiplexing and log parsing to handle multiple tables efficiently.
Distinct from Database Synchronization: Specifically focuses on the efficiency gains of multiplexing for database sync, not just general consistency maintenance.
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SeaTunnel is a distributed data integration engine designed to synchronize structured and unstructured data across diverse sources and sinks. It functions as a multi-engine execution framework that can run data integration tasks across different distributed computing backends to optimize workload performance. The project is distinguished by a visual data pipeline designer for configuring workflows without manual code and a specialized change data capture tool for streaming incremental database updates. It also includes an enrichment pipeline that integrates large language models and embedding
Optimizes data movement across multiple tables and databases using JDBC multiplexing and log parsing.