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      <title>Uber Migrates Eats Catalog to Apache Pinot for Near-Real-Time Olap at 10B+ Row Scale</title>
      <link>https://www.infoq.com/news/2025/12/uber-catalog-pinot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Lambda+Architecture-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Uber has migrated its Eats Catalog (INCA) to Apache Pinot, replacing a legacy Hive-based system. This move reduced data freshness latency from hours to minutes and query response times to 1-3 seconds for a 10B+ row dataset. By using Pinot as a real-time indexing layer for its Docstore database, Uber contributed several optimizations back to the OSS project, including a Small Segment Merger.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Apache Pinot</category>
      <category>Lambda Architecture</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Tue, 23 Dec 2025 17:00:00 GMT</pubDate>
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      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2025-12-23T17:00:00Z</dc:date>
      <dc:identifier>/news/2025/12/uber-catalog-pinot/en</dc:identifier>
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