- Real-time streaming data ingestion
- Automatic data summarization
- Scalability to trillions of events and petabytes of data
- Sub-second query latency
- Approximate algorithms, such as hyperLogLog and theta
These traits make this data store particularly suitable for enterprise-scale business intelligence (BI) applications in environments that require minimal latency and high availability. With Druid you can have applications running interactive queries that "slice and dice" data in motion.
A common use case for Druid is to provide a data store that can return BI about streaming data that comes from user activity on a website or multidevice entertainment platform, from consumer events sent over by a data aggregator, or from any other large-scale set of relevant transactions or events from Internet-connected sources.
Druid is licensed under the Apache License, version 2.0.