https://www.netdata.cloud/tags/time-series/Recent content in Time-Series on NetdataHugoen-usFri, 17 Jul 2026 17:33:53 +0300https://www.netdata.cloud/comparisons/victoriametrics/Thu, 18 Dec 2025 00:00:00 +0000https://www.netdata.cloud/comparisons/victoriametrics/Comprehensive comparison of Netdata vs VictoriaMetrics covering real-time monitoring, ML anomaly detection, visualization, scalability, and total cost of ownership.https://www.netdata.cloud/blog/long-term-data-retention/Tue, 21 Jan 2025 00:00:00 +0000https://www.netdata.cloud/blog/long-term-data-retention/<p>Netdata&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.</p> <hr> <h2 id="database-engine-architecture">Database Engine Architecture</h2> <p>Netdata&rsquo;s database engine provides a sophisticated, efficient solution for long-term metric storage through:</p> <ul> <li>Intelligent multi-tiered storage architecture</li> <li>Efficient compression and caching mechanisms</li> <li>Flexible retention strategies</li> <li>Distributed deployment options</li> </ul> <p>This design enables organizations to maintain detailed historical data while optimizing storage use and maintaining query performance.</p>