Druid is a real-time analytics database that excels at providing immediate data visibility and understanding. Easily load streaming or batch data, and answer ad-hoc analytic queries on billions of rows in under a second.
Druid is a query layer that that natively integrates with message buses (Kafka, AWS Kinesis, etc) and data lakes (HDFS, AWS S3, etc). Build end-to-end data stacks ideal for streaming data.
Druid is over 100x faster than legacy data warehouses for data ingestion and data querying. Druid has a brand new architecture that combines ideas from data warehouses, timeseries databases, and search systems.
Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, and many other forms of event-driven data. Druid is designed for rapid, ad-hoc analytics on both real-time and historical data.
Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Druid is cloud-native: scaling up and down is as simple as adding and removing processes.
Druid is proven in production at the world’s leading companies at massive scale.
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