<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Storage on Netdata</title><link>https://www.netdata.cloud/tags/storage/</link><description>Recent content in Storage on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 17 Jul 2026 17:33:53 +0300</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/storage/index.xml" rel="self" type="application/rss+xml"/><item><title>Tiered Retention With 0.6 Bytes/Sample Storage</title><link>https://www.netdata.cloud/features/dataplatform/tiered-retention/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/dataplatform/tiered-retention/</guid><description>Netdata redefines tiered retention through edge-native architecture that updates all storage tiers simultaneously during collection, eliminating batch jobs and maintenance overhead while providing 15× better efficiency than traditional systems.</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></channel></rss>