If by "works well", you mean it works until someone asks for historical data - then IT guy has to say w/ a straight face "we lost it". This is unacceptable considering the value of data and the strategic leverage it can have today.
Considering immutable facts tables are the most stable data model; companies often have to re-invent it (poorly) on top of relational at some point; that storage is often not a problem; and that having clean historical data is crucial for data science; there are increasingly fewer excuses to not adopt a sane data model from day one.
I agree partially w.r.t. to tooling - few implementations aid adopting this pattern, but I believe the value of historical data, over time, overcomes not being able to slap some quick Rail CRUD together and then being stuck at local minima.