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LakeKeeper+MinIO
DuckDB now supports full CRUD operations on Iceberg tables, enabling cheap, local ETL development without needing a Spark cluster.
What: By combining DuckDB's native Iceberg support, MinIO for S3-compatible storage, and Lakekeeper as an Iceberg catalog, developers can perform full CRUD-style data processing locally and migrate to production by swapping configuration endpoints.
Why it matters: Modernizing data pipelines often requires moving from heavy batch processes (Spark) to lightweight local development cycles that mirror cloud production environments.
Takeaway: Test your production ETL logic locally by using DuckDB with MinIO and Lakekeeper before moving to AWS S3Tables.
Decoder
- CRUD: Create, Read, Update, Delete — the core operations for persistent data storage.
- CTAS (Create Table As Select): A SQL statement used to create a new table based on the results of a query.
Original article
DuckDB's Iceberg extension now supports CTAS, MERGE INTO, INSERT, UPDATE, and DELETE, making it viable for full CRUD-style Iceberg ETL locally without Spark. Paired with MinIO for S3-compatible storage and LakeKeeper as a Rust Iceberg catalog, teams can test scripts cheaply in Docker and switch to AWS S3Tables by toggling environment variables and secrets.
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