Druid is a high-performance, column-oriented, distributed data store.

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Sub-Second Queries

Druid supports fast aggregations and sub-second OLAP queries. Druid is designed for multi-tenancy and is ideal for powering user-facing analytic applications.

Real-time Streams

Druid supports streaming data ingestion and offers insights on events immediately after they occur. Retain events indefinitely and unify real-time and historical views.

Scalable to Petabytes

Existing Druid clusters have scaled to petabytes of data and trillions of events, ingesting millions of events every second. Druid is extremely cost effective, even at scale.

Deploy Anywhere

Druid runs on commodity hardware. Deploy it in the cloud or on-premise. Integrate with existing data systems such as Hadoop, Spark, Kafka, Storm, Flink, and Samza.

Vibrant Community

Druid is a community led project. Join the fast growing community and work with developers from across the world.

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Open Source UIs and Rich Client Libraries

Visualize data with Pivot and Superset. Query data in many different languages.