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    <title>topic Re: How to share history of streaming table with Open Sharing? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-share-history-of-streaming-table-with-open-sharing/m-p/160538#M54900</link>
    <description>&lt;P&gt;You can follow below&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Share Standard Delta Table -&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Instead of sharing the streaming table directly, share a regular Delta table with history that captures the same data. You can create a standard Delta table from the streaming source and&amp;nbsp;share it&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class=""&gt;WITH HISTORY to perform&amp;nbsp;&lt;SPAN&gt;time travel&lt;/SPAN&gt;. You can k&lt;/SPAN&gt;eep your streaming table for real time &amp;amp; run scheduled job to load the batch table that could be used by recipients.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Enable Change Data Feed (CDF) on a standard table - &lt;/STRONG&gt;Y&lt;SPAN&gt;ou can s&lt;/SPAN&gt;hare a regular Delta table with CDF enabled f&lt;SPAN&gt;or incremental history updates&lt;/SPAN&gt;. Recipients can access row-level changes and merge them into a local copy if required. It&amp;nbsp;reduces egress &lt;STRONG&gt;costs&lt;/STRONG&gt; since only changes cross boundaries.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Materialized Views&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;- You can c&lt;/SPAN&gt;&lt;SPAN&gt;reate a materialized view on top of streaming table and p&lt;/SPAN&gt;eriodically refresh the materialized view to capture snapshots. Its&amp;nbsp;Less of real time but provides historical snapshots&lt;/LI&gt;&lt;/UL&gt;</description>
    <pubDate>Thu, 25 Jun 2026 14:58:40 GMT</pubDate>
    <dc:creator>balajij8</dc:creator>
    <dc:date>2026-06-25T14:58:40Z</dc:date>
    <item>
      <title>How to share history of streaming table with Open Sharing?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-share-history-of-streaming-table-with-open-sharing/m-p/160532#M54899</link>
      <description>&lt;P&gt;Databricks has limitations when using Open sharing that history of Streaming tables cannot be shared.&lt;/P&gt;&lt;P&gt;What are the best 'workarounds'? How to provide history to the recipient?&lt;/P&gt;</description>
      <pubDate>Thu, 25 Jun 2026 14:00:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-share-history-of-streaming-table-with-open-sharing/m-p/160532#M54899</guid>
      <dc:creator>yit337</dc:creator>
      <dc:date>2026-06-25T14:00:39Z</dc:date>
    </item>
    <item>
      <title>Re: How to share history of streaming table with Open Sharing?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-share-history-of-streaming-table-with-open-sharing/m-p/160538#M54900</link>
      <description>&lt;P&gt;You can follow below&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Share Standard Delta Table -&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Instead of sharing the streaming table directly, share a regular Delta table with history that captures the same data. You can create a standard Delta table from the streaming source and&amp;nbsp;share it&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class=""&gt;WITH HISTORY to perform&amp;nbsp;&lt;SPAN&gt;time travel&lt;/SPAN&gt;. You can k&lt;/SPAN&gt;eep your streaming table for real time &amp;amp; run scheduled job to load the batch table that could be used by recipients.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Enable Change Data Feed (CDF) on a standard table - &lt;/STRONG&gt;Y&lt;SPAN&gt;ou can s&lt;/SPAN&gt;hare a regular Delta table with CDF enabled f&lt;SPAN&gt;or incremental history updates&lt;/SPAN&gt;. Recipients can access row-level changes and merge them into a local copy if required. It&amp;nbsp;reduces egress &lt;STRONG&gt;costs&lt;/STRONG&gt; since only changes cross boundaries.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Materialized Views&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;- You can c&lt;/SPAN&gt;&lt;SPAN&gt;reate a materialized view on top of streaming table and p&lt;/SPAN&gt;eriodically refresh the materialized view to capture snapshots. Its&amp;nbsp;Less of real time but provides historical snapshots&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Thu, 25 Jun 2026 14:58:40 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-share-history-of-streaming-table-with-open-sharing/m-p/160538#M54900</guid>
      <dc:creator>balajij8</dc:creator>
      <dc:date>2026-06-25T14:58:40Z</dc:date>
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