[chobanilover]

When it comes to data stack tooling, organizations aren't always optimizing for a better way to do things as much as minimizing the worst possible scenario.

New syntax is nice, but it means that analysts and engineers need to learn something new and are more likely to make mistakes that could bubble up to production. There's always an argument to be made why shiny new tool XYZ is better, but unless it's 100X better, organizations are reluctant to switch from something like vanilla PostgreSQL that they know works 100% of the time.

[chaps]

Normally I would agree, except for the fact that this system works by converting PRQL to SQL. So it's not 100% throwing out the baby with the bath water, since there there are still means for newer engineers to learn SQL through this tooling!