Druid provides fast analytical queries, at high concurrency, on both real-time and historical data. Druid is often used to power interactive UIs.
Druid integrates natively with message buses (Kafka, AWS Kinesis, etc) and data lakes (HDFS, AWS S3, etc). Druid works especially well as a query layer for streaming data architectures.
Druid is built for rapid, ad-hoc analytics on both real-time and historical data. Explain trends, explore data, and quickly iterate on queries to answer questions.
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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