Druid supports fast aggregations and sub-second OLAP queries. Druid is designed for multi-tenancy and is ideal for powering user-facing analytic applications.
Druid supports streaming data ingestion and offers insights on events immediately after they occur. Retain events indefinitely and unify real-time and historical views.
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.
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.
Druid is a community led project. Join the fast growing community and work with developers from across the world.
Learn more about how many different organizations use Druid in production.
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Learn more about the high level architecture and concepts behind Druid.