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.
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.