Using Superset

Superset is an open-source business intelligence and data analytics platform that provides numerous statistical and visualization tools. You can configure Superset to use Datomic as a data source via the included "presto" connector.

Important: First, follow the steps in the Python Setup documentation.

Installing Superset

Using the venv created previously:

# From the directory created when making the venv (my-python-env):
. venv/bin/activate

Follow the superset install and setup instructions in your Python venv, starting with: pip install superset

Once installed, as indicated in the docs, you can launch superset with:

superset run -p 8080 --with-threads --reload --debugger

Use Ctrl-C to stop the superset server

These setup steps only need to be run the first time you install Superset.

To run it again in the future, return to the my-python-env directory and run:

. venv/bin/activate
superset run -p 8080 --with-threads --reload --debugger

Once Superset is running, it can be found at localhost:8080 in a web browser.

Using Superset with Datomic Analytics

In the Superset Menu Bar Click "Sources" → "Databases" Click the + button to add a new database Choose a name for the DB and enter it in the Name field. In the SQL Alchemy URI field add the DB URI for the Datomic Analytics system:


Substituting host, port, catalog, and schema.

Click "Test" to test the connection

Check the "Expose in SQL Lab" Option

Configure remaining options (if desired) and click Save to create the Data Source