Ajay Kulkarni from Tiger Data (Co-founder/CEO) is on the pod this week with Adam. He asked him to get vulnerable and trace his path to becoming a CEO. They dig into the themes that have shaped his career, and explore how founder values end up forming company culture (whether you intend them to or not). From his enterprise days to building Timescale (and the rename to Tiger Data), we cover the whole journey — even the haters, because haters gonna hate. Here’s where it gets really interesting: Agents in the database! Not the hype. The real thing baby. They get into how fast you can go from idea to shipped these days, what it actually means to talk to your database, and the whole API/CLI/MCP/Skills movement.

Sugu Sougoumarane, creator of Vitess, comes off sabbatical to bring Vitess to Postgres. We discuss what motivated Sugu to come off sabbatical, why now is the time, the technical challenges of doing so, the implementation details of Multigres (Vitess for Postgres). We also discuss the state of Postgres at scale.

Paul Copplestone, CEO of Supabase (the meme-lord himself), joins the show to take us on the journey of Supabase leading Postgres for life, and how it all starts with Postgres as the base-layer substrate for the entire Supabase platform. They’re laser focused on the drive ahead, not the rear-view mirror.

Disclosure: Adam and Jerod are angel investors in Supabase.

Andrew Atkinson joins Autumn & Justin to tell them why folks should (and are) picking PostgreSQL as their database in 2024 and how to scale it.

This is our 14th Kaizen episode! Gerhard put some CDNs to the test, we’ve taken our next step with Postgres on Neon & Jerod pushed 55 commits (but 0 PRs)!

This week we’re taking you to the hallway track of All Things Open 2023 in Raleigh, NC. Today’s episode features: Heikki Linnakangas (Co-founder of Neon and Postgres hacker), Robert Aboukhalil (Bioinformatics software engineer) working on bringing desktop apps to the web with Wasm, and Scott Ford who loves taking a codebase from brown to green at Corgibytes.

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?