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    <title>topic Online Feature Table : Storage in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102328#M3851</link>
    <description>&lt;P&gt;Databricks Online Feature Table is in public preview , And we have some questions on this&amp;nbsp;&lt;/P&gt;&lt;P&gt;1) What storage is being used for Online Feature table's Data. Our offline feature table is stored in Unity Catalog managed S3 bucket (Customer AWS ). Does online feature table use databrick's internal storage or customer's Cloud ?&lt;/P&gt;&lt;P&gt;2)&amp;nbsp;&lt;A href="https://www.databricks.com/product/pricing/online-tables" target="_blank"&gt;https://www.databricks.com/product/pricing/online-tables&lt;/A&gt;&amp;nbsp;How we can get the storage cost information. For capacity units we can use&amp;nbsp;&lt;STRONG&gt;billing_origin_product = ONLINE_TABLES.&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;3) Are there explicit charges for data refresh from offline source table to online table&amp;nbsp;"&lt;STRONG&gt;Snapshot&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;or&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Triggered&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;sync mode&lt;/SPAN&gt; (data transfer)"&amp;nbsp; ?&lt;/P&gt;</description>
    <pubDate>Tue, 17 Dec 2024 07:24:28 GMT</pubDate>
    <dc:creator>AnkurMittal008</dc:creator>
    <dc:date>2024-12-17T07:24:28Z</dc:date>
    <item>
      <title>Online Feature Table : Storage</title>
      <link>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102328#M3851</link>
      <description>&lt;P&gt;Databricks Online Feature Table is in public preview , And we have some questions on this&amp;nbsp;&lt;/P&gt;&lt;P&gt;1) What storage is being used for Online Feature table's Data. Our offline feature table is stored in Unity Catalog managed S3 bucket (Customer AWS ). Does online feature table use databrick's internal storage or customer's Cloud ?&lt;/P&gt;&lt;P&gt;2)&amp;nbsp;&lt;A href="https://www.databricks.com/product/pricing/online-tables" target="_blank"&gt;https://www.databricks.com/product/pricing/online-tables&lt;/A&gt;&amp;nbsp;How we can get the storage cost information. For capacity units we can use&amp;nbsp;&lt;STRONG&gt;billing_origin_product = ONLINE_TABLES.&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;3) Are there explicit charges for data refresh from offline source table to online table&amp;nbsp;"&lt;STRONG&gt;Snapshot&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;or&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Triggered&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;sync mode&lt;/SPAN&gt; (data transfer)"&amp;nbsp; ?&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2024 07:24:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102328#M3851</guid>
      <dc:creator>AnkurMittal008</dc:creator>
      <dc:date>2024-12-17T07:24:28Z</dc:date>
    </item>
    <item>
      <title>Re: Online Feature Table : Storage</title>
      <link>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102356#M3852</link>
      <description>&lt;P class="_1t7bu9h1 paragraph"&gt;&lt;SPAN&gt;1) &lt;STRONG&gt;Storage for Online Feature Table's Data:&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Online Feature Tables use Databricks' internal storage. They are fully serverless tables that auto-scale throughput capacity with the request load and provide low latency and high throughput access to data of any scale. This means that the data for Online Feature Tables is not stored in the customer's cloud storage but in Databricks' managed infrastructure.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="_1t7bu9h1 paragraph"&gt;2) &lt;STRONG&gt;Storage Cost Information:&lt;/STRONG&gt; &lt;SPAN&gt;For storage cost information, you can refer to the URL provided: &lt;A class="_1o0osw02 markdown-link a88g7q1 _1b3dun34" href="https://www.databricks.com/product/pricing/online-tables" target="_blank" rel="noopener noreferrer"&gt;Online Tables Pricing&lt;/A&gt;. Billing for Online Tables Capacity Units began on or after October 1, 2024, and billing for Online Tables Storage began on or after November 1, 2024. You can use the billing_origin_product = ONLINE_TABLES to get information on capacity units.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="_1t7bu9h1 paragraph"&gt;&lt;SPAN&gt;3) There is no explicit mention on costs for ofline source table to online operations but let me confirm on this.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2024 11:40:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102356#M3852</guid>
      <dc:creator>Walter_C</dc:creator>
      <dc:date>2024-12-17T11:40:36Z</dc:date>
    </item>
    <item>
      <title>Re: Online Feature Table : Storage</title>
      <link>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102608#M3864</link>
      <description>&lt;P&gt;Thanks a lot&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/88823"&gt;@Walter_C&lt;/a&gt;&amp;nbsp;..&lt;/P&gt;</description>
      <pubDate>Thu, 19 Dec 2024 05:27:40 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/online-feature-table-storage/m-p/102608#M3864</guid>
      <dc:creator>AnkurMittal008</dc:creator>
      <dc:date>2024-12-19T05:27:40Z</dc:date>
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