An intuitive interface to explore and visualize datasets, and
create interactive dashboards.
A wide array of beautiful visualizations to showcase your data.
Easy, code-free, user flows to drill down and slice and dice the data
underlying exposed dashboards. The dashboards and charts act as a starting
point for deeper analysis.
A state of the art SQL editor/IDE exposing a rich metadata browser, and
an easy workflow to create visualizations out of any result set.
An extensible, high granularity security model allowing intricate rules
on who can access which product features and datasets.
Integration with major
authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
A lightweight semantic layer, allowing to control how data sources are
exposed to the user by defining dimensions and metrics
Out of the box support for most SQL-speaking databases
Deep integration with Druid allows for Superset to stay blazing fast while
slicing and dicing large, realtime datasets
Fast loading dashboards with configurable caching
Supported Databases
Superset speaks many SQL dialects through SQLAlchemy - a Python
SQL toolkit that is compatible with most databases. Here are some of the major database solutions that are supported:
A complete list of supported databases can be found
here.
Interested in contributing? Check out our
CONTRIBUTING.md
to find resources around contributing along with a detailed guide on
how to set up a development environment.
Resources
Superset 101 -- Getting Started Guide (From PresetBlog)