https://www.infoq.com InfoQ Caching feed https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Caching <img src="https://res.infoq.com/news/2026/05/netflix-druid-interval-cache/en/headerimage/generatedHeaderImage-1777092326529.jpg"/><p>Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.</p> <i>By Leela Kumili</i> Distributed Systems Data Analytics Observability Optimization Apache Time Series Data Caching Architecture & Design Development news Mon, 11 May 2026 14:36:00 GMT https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Caching Leela Kumili 2026-05-11T14:36:00Z /news/2026/05/netflix-druid-interval-cache/en