[frollogaston]

Postgres as a relational DBMS is enough, a point worth making against people trying to abstract it away with stuff like ORMs.

Besides that, you usually won't need nosql thanks to jsonb, and other special types like in Postgis cover other use cases. SQL is better than dealing with various DSLs like you'd see for timeseries. Then there are things you may want separate tooling for but can also do in Postgres if you want to avoid more infra: pubsub/queues, search w/ pgvector, graph DBs, KV stores, caches.

A lot of the other examples here look ridiculous though, like no I'm not hosting a webserver on Postgres. Database functions should be used sparingly too. Never touched triggers since I normally have a general-purpose language driving DB changes, but could see why someone else might use them.