I'd say you started with a standard RDBMS and added the other features like sharding, column-oriented storage, time-series helper functions to SQL, and more to it to end up similar to the other native column stores but with a more flexible and popular Postgres frontend.

At the very least, I think we both agree that the relational/SQL options work just fine compared to limited time-series databases like Influx. And for the record, we do use timescale so you've won me over on the PG usability front.