Druid provides fast analytical queries, at high concurrency, on event-driven data. Druid can instantaneously ingest streaming data and provide sub-second queries to power interactive UIs.
Druid is a new type of database that combines ideas from OLAP/analytic databases, timeseries databases, and search systems to enable new use cases in streaming architectures.
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 stream hubs and stream processors.
Druid is designed 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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