Apache SeaTunnel, as a next-gen data synchronization engine, has evolved technically to meet the growing demand for robust data integration, particularly for AI applications.
Gao Jun from Apache SeaTunnel emphasized that the platform's design allows for flexible source and target connectors, enabling seamless data synchronization between diverse databases.
To manage table structure synchronization, SeaTunnel utilizes a CatalogTable interface to ensure compatibility between source and target databases, streamlining data flow management.
Addressing parallelism, SeaTunnel converts single-threaded tasks into multi-threaded processes, efficiently sorting and managing large volumes of data through parallel reading mechanisms.
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