•1 min read•from InfoQ
DuckLake 1.0: Data Lake Format with SQL Catalog Metadata
Our take
DuckDB Labs has launched DuckLake 1.0, an innovative data lake format that redefines how table metadata is stored by utilizing a SQL database instead of scattering it across multiple files in object storage. This release, available as a DuckDB extension, introduces key enhancements including catalog-stored small updates, improved sorting and partitioning options, and compatibility with Iceberg-style data features. DuckLake 1.0 empowers users to manage their data more efficiently, paving the way for a more streamlined and productive data management experience.
DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than across many files in object storage. The first implementation is available as a DuckDB extension and includes catalog-stored small updates, improved sorting and partitioning options, and compatibility with Iceberg-style data features.
By Renato LosioRead on the original site
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