Branches, Diffs, and SQL: How Dolt Powers Agentic Workflows

About this episode

Tim Sehn discusses Dolt, the first version-controlled SQL database, and its implications for data systems and AI workflows.

Summary  In this episode Tim Sehn, founder and CEO of DoltHub, talks about Dolt - the world’s first version‑controlled SQL database - and why Git‑style semantics belong at the heart of data systems and AI workflows. Tim explains how Dolt combines a MySQL/Postgres‑compatible interface with a novel storage engine built on a “Prollytree” to enable fast, row‑level branching, merging, and diffs of both schema and data. He digs into real production use cases: powering applications that expose version control to end users, reproducible ML feature stores, managing massive configuration for games, and enabling safe agentic writes via branch‑based review flows. He compares Dolt’s approach to LakeFS, Neon, and PlanetScale, and explores developer workflows unlocked by decentralized clones, full audit logs, and PR‑style data reviews.  Announcements  Hello and welcome to the Data Engineering Podcast, the show about modern data management If you lead a data team, you know this pain: Every department needs dashboards, reports, custom views, and they all come to you. So you're either the bottleneck slowing everyone down, or you're spending all your time building one-off tools…

People in this episode

Host: Tobias Macey

Guest: Tim Sehn

Topics covered

• version-controlled SQL database
• data systems
• AI workflows
• branching and merging
• developer workflows
• data management

Keywords

• Dolt
• version control
• SQL database
• data workflows
• branching
• merging
• machine learning
• data management

Sponsors

Retool

Mentioned in this episode

Organizations: DoltHub, MySQL, Postgres, LakeFS, Neon, PlanetScale

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