<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Database</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Database feed</description>
    <item>
      <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=Database</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>Apache Iceberg</category>
      <category>Apache Kafka</category>
      <category>Apache Flink</category>
      <category>S3</category>
      <category>Debezium</category>
      <category>MySQL</category>
      <category>Change Data Capture</category>
      <category>Database</category>
      <category>Apache Spark</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=Database</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>
    </item>
    <item>
      <title>Databricks Introduces Lakebase, a PostgreSQL Database for AI Workloads</title>
      <link>https://www.infoq.com/news/2026/02/databricks-lakebase-postgresql/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/databricks-lakebase-postgresql/en/headerimage/generatedHeaderImage-1770845373859.jpg"/&gt;&lt;p&gt;Databricks has recently announced the general availability of Lakebase, a serverless, PostgreSQL-based OLTP database that scales compute and storage independently. Lakebase is designed to integrate with the Databricks platform, providing a hybrid solution that combines both transactional and analytical capabilities.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Data Analytics</category>
      <category>Postgres</category>
      <category>Cloud</category>
      <category>Data Lake</category>
      <category>Serverless</category>
      <category>Database</category>
      <category>Relational Databases</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 22 Feb 2026 10:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/databricks-lakebase-postgresql/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-02-22T10:25:00Z</dc:date>
      <dc:identifier>/news/2026/02/databricks-lakebase-postgresql/en</dc:identifier>
    </item>
    <item>
      <title>AWS Enables Lambda Function Triggers from RDS for SQL Server Database Events</title>
      <link>https://www.infoq.com/news/2026/02/aws-lambda-rds-trigger-events/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/aws-lambda-rds-trigger-events/en/headerimage/generatedHeaderImage-1770984533554.jpg"/&gt;&lt;p&gt;In a blog post, AWS recently described an event-driven pattern for Amazon RDS for SQL Server, allowing developers to trigger Lambda functions in response to database events via CloudWatch Logs and SQS.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Serverless</category>
      <category>Cloud</category>
      <category>AWS Lambda</category>
      <category>Database</category>
      <category>Relational Databases</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 21 Feb 2026 10:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/aws-lambda-rds-trigger-events/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-02-21T10:33:00Z</dc:date>
      <dc:identifier>/news/2026/02/aws-lambda-rds-trigger-events/en</dc:identifier>
    </item>
  </channel>
</rss>
