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DuckLake stores Parquet data with SQL-managed catalog metadata

github.com Editor score 7/10

The DuckDB extension reads and writes an open lakehouse format that keeps metadata in a catalog database and data in Parquet files. Its SQL-based approach is relevant to engineers evaluating lakehouse storage and query workflows.

What: DuckLake is an open Lakehouse format that stores metadata in a catalog database and data in Parquet files.
How: The DuckLake extension lets DuckDB read and write data using SQL, with examples of time travel, schema changes, and change feeds.
Why it matters: Separating catalog metadata from Parquet data gives engineers SQL access to Lakehouse operations, including versioned queries.

The DuckLake extension works with catalog metadata and data stored in Parquet files. Sketched from the article's own text.

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