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    <title>topic Databricks UniForm - Bridging Delta Lake and Iceberg in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/databricks-uniform-bridging-delta-lake-and-iceberg/m-p/104721#M41855</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Databricks UniForm, enables seamless integration between Delta Lake and Iceberg formats.&lt;/SPAN&gt; &lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;Databricks UniForm key features include:&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Interoperability:&lt;/STRONG&gt; Read Delta tables with Iceberg clients without rewriting data.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Automatic Metadata Generation:&lt;/STRONG&gt; Asynchronously generates Iceberg metadata.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Compression Codec:&lt;/STRONG&gt; Uses Zstandard for Parquet data files instead of Snappy compression.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Requirements:&lt;/STRONG&gt; Needs Unity Catalog registration and specific table properties.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Configuration:&lt;/STRONG&gt; Enabled by setting specific table properties like&amp;nbsp;`delta.enableIcebergCompatV2`&amp;nbsp;and&amp;nbsp;`delta.universalFormat.enabledFormats`&lt;/SPAN&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;UniForm&amp;nbsp;focuses on enabling Delta tables to be read by Iceberg clients without rewriting data, primarily within the Databricks ecosystem.&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;In comparison,&amp;nbsp;Apache XTable&amp;nbsp;offers bidirectional conversion between Delta Lake, Iceberg, and Hudi, providing greater flexibility for format-agnostic lakehouses.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.linkedin.com/posts/hprasad98_delta-lake-uniform-databricks-activity-7282663783578112000-cLLx?utm_source=share&amp;amp;utm_medium=member_desktop" target="_self"&gt;LinkedIn Post&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;#DataEngineering #UniForm #DeltaLake #Interoperability&lt;/P&gt;</description>
    <pubDate>Wed, 08 Jan 2025 15:08:34 GMT</pubDate>
    <dc:creator>hari-prasad</dc:creator>
    <dc:date>2025-01-08T15:08:34Z</dc:date>
    <item>
      <title>Databricks UniForm - Bridging Delta Lake and Iceberg</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-uniform-bridging-delta-lake-and-iceberg/m-p/104721#M41855</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Databricks UniForm, enables seamless integration between Delta Lake and Iceberg formats.&lt;/SPAN&gt; &lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;FONT size="4"&gt;&lt;SPAN&gt;Databricks UniForm key features include:&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Interoperability:&lt;/STRONG&gt; Read Delta tables with Iceberg clients without rewriting data.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Automatic Metadata Generation:&lt;/STRONG&gt; Asynchronously generates Iceberg metadata.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Compression Codec:&lt;/STRONG&gt; Uses Zstandard for Parquet data files instead of Snappy compression.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Requirements:&lt;/STRONG&gt; Needs Unity Catalog registration and specific table properties.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;&lt;STRONG&gt;Configuration:&lt;/STRONG&gt; Enabled by setting specific table properties like&amp;nbsp;`delta.enableIcebergCompatV2`&amp;nbsp;and&amp;nbsp;`delta.universalFormat.enabledFormats`&lt;/SPAN&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;UniForm&amp;nbsp;focuses on enabling Delta tables to be read by Iceberg clients without rewriting data, primarily within the Databricks ecosystem.&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;In comparison,&amp;nbsp;Apache XTable&amp;nbsp;offers bidirectional conversion between Delta Lake, Iceberg, and Hudi, providing greater flexibility for format-agnostic lakehouses.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.linkedin.com/posts/hprasad98_delta-lake-uniform-databricks-activity-7282663783578112000-cLLx?utm_source=share&amp;amp;utm_medium=member_desktop" target="_self"&gt;LinkedIn Post&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;#DataEngineering #UniForm #DeltaLake #Interoperability&lt;/P&gt;</description>
      <pubDate>Wed, 08 Jan 2025 15:08:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-uniform-bridging-delta-lake-and-iceberg/m-p/104721#M41855</guid>
      <dc:creator>hari-prasad</dc:creator>
      <dc:date>2025-01-08T15:08:34Z</dc:date>
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