We are going to be looking at and comparing Airflow (the established) versus Argo Workflows (The new kid on the block) and see how they measure up. What you would use each for, why you would want to use one or the other and who would win in a battle for data workflow management supremacy.

DataOps and Data Engineering enthousiast. I get enthousiastic about data and data technologies and mostly about how we can move all that data around and have people smarter than me do smart things with it. Made the switch unknowingly into a Data engineering role some 2 years ago and haven't looked back since Also loves making taco's, anything food related basically and playing the guitar again.

What is Airflow What is Argo Workflows What are their pro's and con's Why you would pick either one