Incremental Data Loading With Change Data Capture

via “incremental loading with state-based change tracking”

Python data pipeline library with auto schema inference.

Unique: Uses a state-based change tracking system that persists state after each successful load and can restore from destination if local state is lost, enabling resilient incremental loading. The Incremental class integrates with the pipe system, allowing transformers to access state and apply filtering logic within the extraction stage, avoiding unnecessary data transfer.

vs others: More integrated than manual state management in Airflow because state is automatically persisted and restored, but less sophisticated than purpose-built CDC tools like Debezium for capturing database changes.