I always felt neither Airflow nor Superset solved any of the foundational problems with data analytics today. If we take Airflow, it is relatively easy to schedule runs of scripts using cron (or more fancy Nomad jobs with a period stanza). What else does Airflow give me that cron doesn't? Is the parallelization stuff working? Dask is built from the ground up with parallelization in mind, sure it seems to solve a more foundational problem than Airflow. Is triggering and listening to events working? Doesn't look like. Is collaboration working? Doesn't seem to be the case since after writing your python script you need to basically rewrite it into an Airflow dag.