Superset has a native connector to Druid and a majority of Druid’s features are accessible through Superset.


Druid now supports SQL and can be accessed through Superset’s SQLAlchemy connector. The long-term vision is to deprecate the Druid native REST connector and query Druid exclusively through the SQL interface.


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 their json element corresponds 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 create 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.

Unsupported Features


Unclear at this point, this section of the documentation could use some input.