Currently I have it loaded on redshift with as much optimization as possible, and the queries are far more analytical than end-user like (often having to self j

Currently I have it loaded on redshift with as much optimization as possible, and the queries are far more analytical than end-user like (often having to self join on the same dataset). This works okay, but doesn't scale with more than a handful users at a time. I'll probably run some tests with the postgres suggestion but curious if this is still a better alternative or not