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    <title>InfoQ - Data Storage</title>
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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=Data+Storage</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>Apache Iceberg</category>
      <category>Data Partitioning</category>
      <category>Data Lake</category>
      <category>duckdb</category>
      <category>SQL</category>
      <category>Data Storage</category>
      <category>Data Catalog</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Sat, 02 May 2026 06:48:00 GMT</pubDate>
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      <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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    <item>
      <title>Dropbox Redesigns Compaction to Reclaim Space from Underfilled Storage Volumes</title>
      <link>https://www.infoq.com/news/2026/04/dropbox-tiered-compaction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Storage</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/dropbox-tiered-compaction/en/headerimage/generatedHeaderImage-1776799745799.jpg"/&gt;&lt;p&gt;Dropbox recently explained how it improved storage efficiency in Magic Pocket, the company's internal immutable blob store for storing user files at scale, by redesigning compaction strategies to reclaim space from severely underfilled storage volumes. The system now periodically reorganizes valid data into new volumes, allowing old, partially used ones to be cleared and reused.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Distributed Data</category>
      <category>Data Storage</category>
      <category>Storage</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 30 Apr 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/dropbox-tiered-compaction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Storage</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-04-30T09:23:00Z</dc:date>
      <dc:identifier>/news/2026/04/dropbox-tiered-compaction/en</dc:identifier>
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