Introducing DuckLake: An Integrated Data Lake and Catalog Format Powered by SQL
DuckDB's DuckLake is an open‑standard, SQL‑driven data lake and catalog format that simplifies lakehouse architecture by managing metadata in a database while storing data in scalable Parquet files, offering multi‑user collaboration, time‑travel queries, and MIT licensing.
DuckDB announced DuckLake, an open‑standard integrated data lake and catalog format that uses SQL to manage metadata while storing data in open file formats such as Parquet.
DuckLake offers a lightweight, one‑stop solution for data lake and catalog needs, supporting multi‑user collaborative DuckDB instances, time‑travel queries, partitioned storage, and the ability to split data across multiple files.
The term “DuckLake” can refer to the specification, the DuckDB extension that implements the spec, or a dataset stored in the DuckLake format.
Both the DuckLake specification and the DuckDB extension are released under the MIT license.
Architecturally, DuckLake consists simply of a DuckDB database file together with a collection of Parquet files, as illustrated in the accompanying diagram.
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