I always appreciate blog posts like this, there are obviously cases where SQL shines, and in part I think the dataframe abstraction helps with filling a lot of the missing pieces that SQL doesn't handle so well (composability, debuggability, interactivity, etc.)

Even pandas (with all its faults) is more flexible as a language than SQL[1]. I'm of the opinion that there's a better together story in the end, but I guess we will see.

[1] https://ponder.io/pandas-vs-sql-food-court-michelin-style-re...