Comment by annexrichmond

Yes, but that means you are forced to build EDA on top of Airflow, which may not be ideal for many cases. You are stuck managing your pools/workers within Airflow's paradigm, which means all workload must (a) be written in Python and (b) have Airflow installed on the venv (very heavy pkg) and (c) be k8s pod or Celery (unless you write your own).