PG Phriday: Derivation Deluge

Having run into a bit of a snag with Postgres-XL, and not wanting to be dead in the water with our project, I went on a bit of a knowledge quest. Database scaling is hard, so I expected a bunch of either abandoned or proprietary approaches. In addition, as a huge fans of Postgres, compatibility or outright use of the Postgres core was a strict prerequisite. So, what options are out there?

PG Phriday: Massively Distributed Operation

Postgres has been lacking something for quite a while, and more than a few people have attempted to alleviate the missing functionality multiple times. I’m speaking of course, about parallel queries. There are several reasons for this, and among them include various distribution and sharding needs for large data sets. When tables start to reach hundreds of millions, or even billions of rows, even high cardinality indexes produce results very slowly.