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    <title>topic Databricks Named a Leader in Stream Processing and Cloud Data Pipelines in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/databricks-named-a-leader-in-stream-processing-and-cloud-data/m-p/77225#M151</link>
    <description>&lt;P&gt;We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;IDC MarketScape: Worldwide Analytic Stream Processing Software, 2024&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;(Leader)&lt;/STRONG&gt;&lt;/LI&gt;
&lt;LI&gt;Forrester Wave™: Cloud Data Pipelines, Q4 2023&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;(Leader)&lt;/STRONG&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;You can download the IDC report&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/resources/ebook/2024-idc-marketscape-worldwide-analytic-stream-processing" rel="nofollow noopener noreferrer" target="_blank"&gt;here&lt;/A&gt;, and the Forrester report&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/resources/analyst-research/forrester-wavetm-cloud-data-pipelines-q4-2023" rel="nofollow noopener noreferrer" target="_blank"&gt;here&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;Data engineering on the Databricks&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/data-intelligence-platform" rel="nofollow noopener noreferrer" target="_blank"&gt;Data Intelligence Platform&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;allows data practitioners to build intelligent batch and streaming data pipelines on a unified and governed platform. With Databricks, Data Engineers and their stakeholders can easily ingest, transform, and orchestrate the right data, at the right time, at any scale. Built-in data intelligence accelerates pipeline development through automated management and optimization, semantic cataloging and discovery, and natural language access - simultaneously enabling real-time GenAI and analytics use cases that drive the business forward.&lt;/P&gt;
&lt;P&gt;With&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/solutions/data-engineering" rel="nofollow noopener noreferrer" target="_blank"&gt;data engineering&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/data-streaming" rel="nofollow noopener noreferrer" target="_blank"&gt;data streaming&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;fundamentally intertwined, we're proud to announce these reports in a joint announcement, detailed in this&lt;A href="https://www.databricks.com/blog/databricks-named-leader-stream-processing-and-cloud-data-pipelines?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; blog.&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 09 Jul 2024 05:49:43 GMT</pubDate>
    <dc:creator>Sujitha</dc:creator>
    <dc:date>2024-07-09T05:49:43Z</dc:date>
    <item>
      <title>Databricks Named a Leader in Stream Processing and Cloud Data Pipelines</title>
      <link>https://community.databricks.com/t5/announcements/databricks-named-a-leader-in-stream-processing-and-cloud-data/m-p/77225#M151</link>
      <description>&lt;P&gt;We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;IDC MarketScape: Worldwide Analytic Stream Processing Software, 2024&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;(Leader)&lt;/STRONG&gt;&lt;/LI&gt;
&lt;LI&gt;Forrester Wave™: Cloud Data Pipelines, Q4 2023&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;(Leader)&lt;/STRONG&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;You can download the IDC report&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/resources/ebook/2024-idc-marketscape-worldwide-analytic-stream-processing" rel="nofollow noopener noreferrer" target="_blank"&gt;here&lt;/A&gt;, and the Forrester report&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/resources/analyst-research/forrester-wavetm-cloud-data-pipelines-q4-2023" rel="nofollow noopener noreferrer" target="_blank"&gt;here&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;Data engineering on the Databricks&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/data-intelligence-platform" rel="nofollow noopener noreferrer" target="_blank"&gt;Data Intelligence Platform&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;allows data practitioners to build intelligent batch and streaming data pipelines on a unified and governed platform. With Databricks, Data Engineers and their stakeholders can easily ingest, transform, and orchestrate the right data, at the right time, at any scale. Built-in data intelligence accelerates pipeline development through automated management and optimization, semantic cataloging and discovery, and natural language access - simultaneously enabling real-time GenAI and analytics use cases that drive the business forward.&lt;/P&gt;
&lt;P&gt;With&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/solutions/data-engineering" rel="nofollow noopener noreferrer" target="_blank"&gt;data engineering&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.databricks.com/product/data-streaming" rel="nofollow noopener noreferrer" target="_blank"&gt;data streaming&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;fundamentally intertwined, we're proud to announce these reports in a joint announcement, detailed in this&lt;A href="https://www.databricks.com/blog/databricks-named-leader-stream-processing-and-cloud-data-pipelines?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; blog.&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 09 Jul 2024 05:49:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/databricks-named-a-leader-in-stream-processing-and-cloud-data/m-p/77225#M151</guid>
      <dc:creator>Sujitha</dc:creator>
      <dc:date>2024-07-09T05:49:43Z</dc:date>
    </item>
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