<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Database on Netdata</title><link>https://www.netdata.cloud/tags/database/</link><description>Recent content in Database on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 13 Aug 2026 08:45:56 +0300</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/database/index.xml" rel="self" type="application/rss+xml"/><item><title>Database Monitoring Software Without Query Languages</title><link>https://www.netdata.cloud/solutions/built-for/dbas/</link><pubDate>Tue, 27 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/built-for/dbas/</guid><description>Netdata gives DBAs complete database visibility with per-second query performance, replication lag tracking, lock analysis, and connection pool monitoring across MySQL, PostgreSQL, SQL Server, Oracle, and MongoDB - all from one dashboard with zero configuration.</description></item><item><title>Long-Term Data Storage and Retention in Netdata</title><link>https://www.netdata.cloud/blog/long-term-data-retention/</link><pubDate>Tue, 21 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/long-term-data-retention/</guid><description>&lt;p>Netdata&amp;rsquo;s database engine (dbengine) provides a sophisticated multi-tiered storage system designed for efficient long-term data retention while maintaining high granularity. This article explores the technical details of how Netdata handles metric storage, the advantages of its distributed architecture, and how to configure it for your specific needs.&lt;/p>
&lt;hr>
&lt;h2 id="database-engine-architecture">Database Engine Architecture&lt;/h2>
&lt;p>Netdata&amp;rsquo;s database engine provides a sophisticated, efficient solution for long-term metric storage through:&lt;/p>
&lt;ul>
&lt;li>Intelligent multi-tiered storage architecture&lt;/li>
&lt;li>Efficient compression and caching mechanisms&lt;/li>
&lt;li>Flexible retention strategies&lt;/li>
&lt;li>Distributed deployment options&lt;/li>
&lt;/ul>
&lt;p>This design enables organizations to maintain detailed historical data while optimizing storage use and maintaining query performance.&lt;/p></description></item><item><title>Cassandra Monitoring: Key Metrics &amp; Best Practices</title><link>https://www.netdata.cloud/blog/cassandra-monitoring-part1/</link><pubDate>Thu, 27 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/cassandra-monitoring-part1/</guid><description>&lt;p>What are the important Cassandra metrics to monitor and how to monitor them.&lt;/p>
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&lt;h2 id="what-is-cassandra--why-use-it">What Is Cassandra &amp;amp; Why Use It&lt;/h2>
&lt;p>Cassandra is an open-source, distributed, wide-column NoSQL database management system written in Java. Cassandra was originally developed by &lt;a href="https://twitter.com/hedvigeng">Avinash Lakshmanan&lt;/a> and &lt;a href="https://twitter.com/pmalik">Prashant Malik&lt;/a> at Facebook and then released as open source, eventually becoming part of the &lt;a href="https://www.netdata.cloud/monitoring-101/apache-monitoring/">Apache&lt;/a> project.&lt;/p>
&lt;p>&lt;a href="https://www.netdata.cloud/integrations/data-collection/databases/cassandra/">Cassandra is a NoSQL database&lt;/a> - NoSQL (also known as &amp;ldquo;not only SQL&amp;rdquo;) databases do not require data to be stored in tabular format. They provide flexible schemas and scale easily with large amounts of data and high user loads.&lt;/p></description></item></channel></rss>