In July of 2020, Joran Dirk Greef stumbled into a fundamental limitation in the general-purpose database design for transaction processing. This sent him on a path that ended with TigerBeetle, a redesigned distributed database for financial transactions that yielded three orders of magnitude faster OLTP performance over the usual (general-purpose) suspects.

On this episode, Joran joins Jerod to explain how TigerBeetle got so fast, to defend its resilience and durability claims as a new market entrant, and to stake his claim at the intersection of open source and business. Oh, plus the age old question: Why Zig?

From switching ISPs to migrating Amazon off Oracle, Pete Naylor knows which database to use.

We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.

Lili Cosic’s experience at different companies & communities has given her insights into what’s important & when to adapt to learn new (or old) things.

Database aficionado, Ben Johnson, joins Jerod to answer the age ol’ question: which database should you use? Answering that isn’t always easy, which means it’s time to play the “It Depends” jingle & weigh (some of) the options.

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.

It’s our 13th Kaizen episode! We’re back from KubeCon, we’re making goals for the year, we’re migrating to Neon & we’re weighing the pros/cons of building our own custom CDN.

Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in episode #234. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.

Nick & KBall sit down with the brilliant Stephen Haberman to discuss all things ORMs! 💻🔍

From the advantages and disadvantages of ORMs in general, to delving into the intricacies of his innovative project Joist, which brings a fresh, idiomatic, ActiveRecord-esque approach to TypeScript. 🚀

So sit back, relax, and let’s dive deep into the world of ORMs with the experts!

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.

Patformatic co-founders Matteo Collina & Luca Maraschi join Amal & Chris to discuss their just-announced (and we mean just announced) open source database tool: Platformatic DB!

It’s a daemon that can turn any PostgreSQL, MySQL, MariaDB, or SQLite database into a REST and GraphQL endpoint. What makes it special is that it allows massive customization thanks to the flexibility of Fastify plugins.

Ben Johnson, the creator of Litestream, joined Fly.io a few weeks after we migrated changelog.com - episode 50 has all the details. That was pure coincidence. What was not a coincidence, is Gerhard jumping at the opportunity to talk to Ben about Postgres vs SQLite with Litestream.

The prospect of running a cluster of our app instances spread across all regions, with local SQLite & Litestream replication, is mind boggling. Let’s find out from Ben what will it take to get there. Thanks Kürt for kicking off this dream.

This week we’re joined by Deepthi Sigireddi, Vitess Maintainer and engineer at PlanetScale — of course we’re talking about all things Vitess. We talk about its origin inside YouTube, how Vitess handles sharding, Deepthi’s journey to Vitess maintainer, when you should begin using it, and how it fits into cloud native infra.

Let’s talk about the concept of immutable databases, the problems they target, and why you’d want to build one in Go.

One of the most common questions we receive at Go Time is how to handle schema migrations in Go. In this episode Jon is joined by Mike Fridman and Vojtech Vitek, maintainers of the popular schema migration tool pressly/goose, to discuss techniques, tools, and tips for handling schema migrations.

This week Paul Copplestone, CEO of Supabase joined us to catch us up on the next big thing happening in the world of Postgres. Supabase might be best known as “the open source Firebase alternative,” a tagline they might be reluctant to maintain. But from Adam’s perspective, he’s never been more excited about what they’re bringing to market for Postgres fans. In the last year, Supabase has gone from 0 to more than 80,000 databases on their platform — and they’re still in beta…and it’s open source. Hopefully today’s show sheds some light on why everyone is talking about Supabase.

This week Adam is joined by Sam Lambert, CEO of PlanetScale. Now that PlanetScale is in general availability, Adam had to get Sam on the show to talk about the behind the scenes of building this database platform, how this is the last database you’ll ever need and what that means for developers, why serverless, its open source underpinnings with Vitess, and a preview of what’s to come.

Today Adam is joined by Evan Kaplan, CEO of InfluxData. Evan’s journey to become the CEO was not by way of founder, in this company. Evan has founded several companies in the past, and he’s been in a CEO position for more than 22 years. But InfluxData was founded by Paul Dix, and Paul knew years ago that his role (best role?) was to lead the technical and product direction of the company, which lead him to Evan. Today we share that story as well as a glimpse into operating the business that built the defacto platform for building time series applications with deep roots in open source.

This week we’re talking with Evan Weaver about Fauna — the database for a new generation of applications. Fauna is a transactional database delivered as a secure and scalable cloud API with native GraphQL. It’s the first implementation of its kind based on the Calvin paper as opposed to Spanner. We cover Evan’s history leading up to Fauna, deep details on the Calvin algorithm, the CAP theorem for databases, what it means for Fauna to be temporal native, applications well suited for Fauna, and what’s to come in the near future.

This week, Richard Hipp returns to catch us up on all things SQLite, his single file webserver written in C called Althttpd, and Fossil – the source code manager he wrote and uses to manage SQLite development instead of Git.

Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.

This week we’re talking with Ben Johnson. Ben is known for his work on BoltDB, his work in open source, and as a freelance Go developer. Late January when Ben open sourced his newest project Litestream in the readme he shared how the project was open source, but not open for contribution. His reason was to protect his mental health and the long term viability of the project. On this episode we talk with Ben about what that means, his thoughts on mental health and burnout in open source, choosing a license, and the details behind Litestream - a standalone streaming replication tool for SQLite.

This week Adam talks with Spencer Kimball, CEO and Co-founder of Cockroach Labs — makers of CockroachDB an open source cloud-native distributed SQL database. Cockroach Labs recently raised $160 million dollars on a $2 billion dollar valuation. In this episode, Spencer shares his journey in open source, startups and entrepreneurship, and what they’re doing to build CockroachCloud to meet the needs of applications that require massive scale and ultra-resilience.

This week we’re talking about the recent falling out between Elastic and AWS around the relicensing of Elasticsearch and Kibana. Like many in the community, we have been watching this very closely.

Here’s the tldr for context. On January 21st, Elastic posted a blog post sharing their concerns with Amazon/AWS misleading and confusing the community, saying “They have been doing things that we think are just NOT OK since 2015 and it has only gotten worse.” This lead them to relicense Elasticsearch and Kibana with a dual license, a proprietary license and the Sever Side Public License (SSPL). AWS responded two days later stating that they are “stepping up for a truly open source Elasticsearch,” and shared their plans to create and maintain forks of Elasticsearch and Kibana based on the latest ALv2-licensed codebases.

There’s a ton of detail and nuance beneath the surface, so we invited a handful of folks on the show to share their perspective. On today’s show you’ll hear from: Adam Jacob (co-founder and board member of Chef), Heather Meeker (open-source lawyer and the author of the SSPL license), Manish Jain (founder and CTO at Dgraph Labs), Paul Dix (co-founder and CTO at InfluxDB), VM (Vicky) Brasseur (open source & free software business strategist), and Markus Stenqvist (everyday web dev from Sweden).