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Teams often end up rebuilding the same runtime code—connection handling, retries, logging—in hundreds of standalone Python scripts. SeaTunnel fixes this by moving those concerns into a shared runtime and connector framework, leaving developers to define just the source, transform, and sink for each data pipeline.
- Hundreds of standalone Python scripts each duplicate the same runtime plumbing—connection setup, retries, logging, checkpointing, thread pools, error recovery.
- SeaTunnel separates pipeline definition (Source, Transform, Sink) from execution, letting its runtime handle connections, error handling, scaling and monitoring.
- A unified Connector Framework gives every connector (MySQL, Oracle, Kafka, S3, REST APIs, etc.) the same interface and lifecycle, so adding a data source just means plugging in a connector instead of rebuilding retry/thread logic.