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Superset works well with Druid, though currently not all advanced features out of Druid are covered. This page clarifies what is covered and what isn’t and explains how to use some of the features.



Common aggregations, or Druid metrics can be defined and used in Superset. The first and simpler use case is to use the checkbox matrix expose in your datasource’s edit view (Sources -> Druid Datasources -> [your datasource] -> Edit -> [tab] List Druid Column). Clicking the GroupBy and Filterable checkboxes will make the column appear in the related dropdowns while in explore view. Checking Count Distinct, Min, Max or Sum will result in creating new metrics that will appear in the List Druid Metric tab upon saving the datasource. By editing these metrics, you’ll notice that they their json element correspond to Druid aggregation definition. You can create your own aggregations manually from the List Druid Metric tab following Druid documentation.


Druid supports post aggregation and this works in Superset. All you have to do is creating a metric, much like you would create an aggregation manually, but specify postagg as a Metric Type. You then have to provide a valid json post-aggregation definition (as specified in the Druid docs) in the Json field.

Not yet supported

  • Regex filters
  • Lookups / joins