A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
A powerful SQL editor (SQL Lab) that enables users to query their data as well as visualize it using Superset’s Explore View
An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user
Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
Superset was originally designed on top of Druid.io, but quickly broadened its scope to support other databases through the use of SqlAlchemy, a Python ORM that is compatible with most common databases.
Druid is an open-source analytics data store designed for business intelligence (OLAP)queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and applications.
Maxime Beauchemin, Alanna Scott, Vera Liu, Bogdan Kyryliuk