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      <title>DuckLake 1.0: Data Lake Format with SQL Catalog Metadata</title>
      <link>https://www.infoq.com/news/2026/05/ducklake-sql-catalog/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=SQL</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/ducklake-sql-catalog/en/headerimage/generatedHeaderImage-1776423164012.jpg"/&gt;&lt;p&gt;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.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>SQL</category>
      <category>Data Storage</category>
      <category>duckdb</category>
      <category>Data Lake</category>
      <category>Data Catalog</category>
      <category>Apache Iceberg</category>
      <category>Data Partitioning</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Sat, 02 May 2026 06:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/ducklake-sql-catalog/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=SQL</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-02T06:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/ducklake-sql-catalog/en</dc:identifier>
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