Druid is a fast 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, 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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Try the quickstart and get started in minutes. Load your own data and query it.


Learn more about the high level architecture and concepts behind Druid.

Druid in Production

Learn more about how different organizations use Druid in production. Druid has been battle-tested in many environments.

Open Source UIs and Rich Client Libraries

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