PostgreSQL is one of the most popular SQL databases. It’s a go-to database for many projects dealing with Online Transaction Processing systems. However, PostgreSQL is much more versatile and can successfully handle less popular SQL scenarios and workflows that don’t use SQL at all. In this blog post, we’ll see other scenarios where PostgreSQL shines and will explain how to use it in these cases.

How It All Started

Historically, we focused on two distinct database workflows: Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP).

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