An open-source, real-time data store designed to power interactive applications at scale.

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latest stable release 0.7.0


Query timeseries data as it is being ingested for both immediate and historical insights. Aggregate, drill-down, and slice-n-dice N-dimensional data with consistent, fast response times.


Scalable and available; consistent and predictable performance in multi-tenant environments. Scale up to increase computation power, scale down to save on costs.

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Druid excels at aggregations and supports a variety of filters and calculations. Leverage approximate algorithms to improve performance, and use exact algorithms when correctness matters.