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      <title>Pinterest’s CDC-Powered Ingestion Slashes Database Latency from 24 Hours to 15 Minutes</title>
      <link>https://www.infoq.com/news/2026/02/pinterest-cdc-db-ingestion/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Debezium-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/pinterest-cdc-db-ingestion/en/headerimage/generatedHeaderImage-1771102084397.jpg"/&gt;&lt;p&gt;Pinterest launched a next-generation CDC-based database ingestion framework using Kafka, Flink, Spark, and Iceberg. The system reduces data availability latency from 24+ hours to 15 minutes, processes only changed records, supports incremental updates and deletions, and scales to petabyte-level data across thousands of pipelines, optimizing cost and efficiency.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Database</category>
      <category>S3</category>
      <category>MySQL</category>
      <category>Change Data Capture</category>
      <category>Apache Flink</category>
      <category>Apache Spark</category>
      <category>Apache Kafka</category>
      <category>Apache Iceberg</category>
      <category>Debezium</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 26 Feb 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/pinterest-cdc-db-ingestion/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Debezium-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-02-26T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/02/pinterest-cdc-db-ingestion/en</dc:identifier>
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