Unpacking Starburst Rewind and Backfill

Starburst's Rewind and Backfill feature offers data engineers a robust solution to address common challenges in streaming data pipelines, such as schema drift and parsing logic issues. Built on the Iceberg platform, this tool enables engineers to "rewind" an Iceberg table to a previous state before errors occurred and then "backfill" the data using updated logic, ensuring the integrity and consistency of the data without creating duplicates or losing information. The process is straightforward and involves updating parsing logic, selecting a prior point in time, and triggering a backfill operation, which recomputes data accurately. This capability allows for seamless iterations and corrections, eliminating the need for complex manual backfills. The underlying architecture, which includes exactly-once processing, a managed control plane, and incremental materialized views, ensures efficient and reliable data management. By using a scalable and elastic multitenant architecture, Starburst can handle high-speed data ingest, making Rewind and Backfill a powerful tool for maintaining data quality in dynamic environments.