Additionally, to support fast scans and aggregations, Druid optimizes column storage for each column according to its data type. This greatly improves speed for queries that retrieve only a few columns. This means it only loads the exact columns Digital marketing/advertising analyticsĭruid's core architecture combines ideas from data warehouses, timeseries databases, and logsearch systems. Supply chain analytics including manufacturing metrics.Network telemetry analytics including network performance monitoring.Clickstream analytics including web and mobile analytics.Druid works best with event-oriented data.Ĭommon application areas for Druid include: Most often, Druid powers use cases where real-time ingestion, fast query performance, and high uptime are important.ĭruid is commonly used as the database backend for GUIs of analytical applications, or for highly-concurrent APIs that need fast aggregations. Moment Sketches for Approximate Quantiles moduleĪpache Druid is a real-time analytics database designed for fast slice-and-dice analytics (" OLAP" queries) on large data sets.Key/Value Stores (HBase/Cassandra/OpenTSDB)
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