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    <title>topic Serverless costs, standard vs performance optimized in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/serverless-costs-standard-vs-performance-optimized/m-p/124797#M47268</link>
    <description>&lt;P&gt;In the pricing page for&amp;nbsp;Lakeflow Declarative Pipelines (formerly DLT), for serverless it shows a single cost of $0.35/DBU for both standard and performance optimized. But in the feature table below, it says standard is &lt;EM&gt;"Up to 70% cheaper than running in the Performance optimized mode"&lt;/EM&gt;.&lt;/P&gt;&lt;P&gt;I'm trying to estimate costs and I'm not sure how, since I don't know which mode runs for the listed cost. Is standard cheaper or performance costlier? How do I compare costs between the two?&lt;/P&gt;</description>
    <pubDate>Thu, 10 Jul 2025 13:49:43 GMT</pubDate>
    <dc:creator>rcostanza</dc:creator>
    <dc:date>2025-07-10T13:49:43Z</dc:date>
    <item>
      <title>Serverless costs, standard vs performance optimized</title>
      <link>https://community.databricks.com/t5/data-engineering/serverless-costs-standard-vs-performance-optimized/m-p/124797#M47268</link>
      <description>&lt;P&gt;In the pricing page for&amp;nbsp;Lakeflow Declarative Pipelines (formerly DLT), for serverless it shows a single cost of $0.35/DBU for both standard and performance optimized. But in the feature table below, it says standard is &lt;EM&gt;"Up to 70% cheaper than running in the Performance optimized mode"&lt;/EM&gt;.&lt;/P&gt;&lt;P&gt;I'm trying to estimate costs and I'm not sure how, since I don't know which mode runs for the listed cost. Is standard cheaper or performance costlier? How do I compare costs between the two?&lt;/P&gt;</description>
      <pubDate>Thu, 10 Jul 2025 13:49:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/serverless-costs-standard-vs-performance-optimized/m-p/124797#M47268</guid>
      <dc:creator>rcostanza</dc:creator>
      <dc:date>2025-07-10T13:49:43Z</dc:date>
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    <item>
      <title>Re: Serverless costs, standard vs performance optimized</title>
      <link>https://community.databricks.com/t5/data-engineering/serverless-costs-standard-vs-performance-optimized/m-p/124838#M47275</link>
      <description>&lt;P class=""&gt;Hello&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/40911"&gt;@rcostanza&lt;/a&gt;&amp;nbsp;!&lt;/P&gt;&lt;P class=""&gt;While the &lt;SPAN class=""&gt;DBU price is the same&lt;/SPAN&gt; for both modes, the &lt;SPAN class=""&gt;Performance Optimized mode&lt;/SPAN&gt; behaves quite differently:&lt;/P&gt;&lt;P class=""&gt;&lt;SPAN class=""&gt;&lt;STRONG&gt;Performance Optimized Mode&lt;/STRONG&gt;&lt;/SPAN&gt; prioritizes speed and throughput. It aggressively scales resources to minimize processing time, which &lt;SPAN class=""&gt;&lt;STRONG&gt;can significantly increase total cost&lt;/STRONG&gt;&lt;/SPAN&gt; due to higher DBU consumption.&lt;/P&gt;&lt;P class=""&gt;The actual price you pay will &lt;SPAN class=""&gt;&lt;STRONG&gt;depend on your workload&lt;/STRONG&gt;&lt;/SPAN&gt;. Databricks manages the underlying infrastructure using real-time workload intelligence and automatically scales clusters as needed. Its enhanced autoscaler will also wind down resources when it detects they’re no longer required.&amp;nbsp;&lt;SPAN&gt;You can find the DBU usage of&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;serverless Lakeflow Declarative Pipelines&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;by querying the billable usage table, part of the&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;Databricks&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;A href="https://docs.databricks.com/aws/en/admin/usage/system-tables#serverless-dlt-cost" target="_self"&gt;system tables&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P class=""&gt;&lt;EM&gt;"DBUs are a measure of the processing power used to run your workload. Databricks manages the underlying infrastructure and uses real-time intelligence about your workload to determine how to efficiently scale resources to meet its needs. The best way to estimate serverless DBUs is to run a few representative workloads on serverless and measure the resultant DBUs."&lt;/EM&gt;&lt;/P&gt;&lt;P class=""&gt;Also note to review your use case:&lt;/P&gt;&lt;P class=""&gt;&lt;EM&gt;"Standard Performance mode is only available for triggered pipelines. Continuous execution is not supported."&lt;/EM&gt;&lt;/P&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class=""&gt;Hope this helps, &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;BR /&gt;&lt;BR /&gt;Isi&lt;/DIV&gt;</description>
      <pubDate>Thu, 10 Jul 2025 21:14:14 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/serverless-costs-standard-vs-performance-optimized/m-p/124838#M47275</guid>
      <dc:creator>Isi</dc:creator>
      <dc:date>2025-07-10T21:14:14Z</dc:date>
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