This week we’re talking about by Postgres with Craig Kerstiens, Chief Product Officer at Crunchy Data, and a well known ambassador for Postgres. Just Postgres. That’s what this week’s show is about.

This week we’re talking about serverless Postgres! We’re joined by Nikita Shamgunov, co-founder and CEO of Neon. With Neon, truly serverless PostgreSQL is finally here. Neon isn’t Postgres compatible…it actually is Postgres! Neon is also open source under the Apache License 2.0.

We talk about what a cloud native serverless Postgres looks like, why developers want Postgres and why of the top 5 databases only Postgres is growing (according to DB-Engines Ranking), we talk about how they separated storage and compute to offer autoscaling, branching, and bottomless storage, we also talk about their focus on DX — where they’re getting it right and where they need to improve. Neon is invite only as of the recording and release of this episode, but near the end of the show Nikita shares a few ways to get an invite and early access.

While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!

Rasmus Porsager created Postgres.js –the fastest full-featured PostgreSQL client for Node.js and Deno. Today he joins Jerod for a deep-dive on Postgres, why he created this open source library, and how you can use it to build pg-backed JavaScript applications.

PostgreSQL aficionado Craig Kerstiens joins Jerod to talk about his (and our) favorite relational database. Craig details why Postgres is unique in the world of open source databases, which features are most exciting, the many things you can make Postgres do, and what the future might hold. Oh, and some awesome psql tips & tricks!

Choosing a database is hard. They each have their pros and cons, and without much experience it is hard to determine which is the best fit for your project. In this episode Johan Brandhorst joins us to talk about Postgres. When is it a good fit? How well does it scale? What libraries exist in Go for using Postgres?