[jamesblonde]

We have seen this trend in feature engineering. Some companies selling feature stores try to promote their DSL as the way to create features - instead of general purpose frameworks, such as Pandas, Spark, Flink, or event DBT/SQL.

In this case, DSLs may have a short-term wow factor, that you don't have to build an maintain feature pipelines, but you're always playing catchup when the latest feature engineering technique is not available in your DSL. And then, you have your developers careers to think of - do they want to put a DSL for feature engineering on their resume?