Watched this video: https://www.youtube.com/watch?v=W_Sp4jo1ACg
Installed Superset locallly using these instructions, slightly tweaked for use with pipenv.
cd ~/learn
mkdir superset
cd superset
pipenv --three
pipenv install superset
pipenv shell
fabmanager create-admin --app superset
superset db upgrade
superset load_examples #this took a little while to finish
superset init
superset runserver -d
- It's open source.
- It's built in Python and uses Flask.
- It uses d3 and supports pretty nice set of visualizations, with interesting interactivity.
- It seems to have a pretty nice SQL editor (SqlLab), which seems to be the primary way to model data.
- It seems to lack some of the 'workflow' features Looker has, like scheduled Looks, public Looks, link shortening, etc
- It has nothing like LookML (data is mostly modelled with SQL, but can be annotated with custom measures/dimension)
- Explore views are quite different from how Looker would do it (much more focused on how you wanted to display/visualize data, with different UI's for each visualization type)
- In general it seems like superset tries less to 'shield' users from the underlying SQL entities