Prisma started as a GraphQL backend and pivoted into one of the most widely used ORMs in the world. Now, they’ve launched Prisma Postgres, and CEO Søren Bramer Schmidt is here to break down the journey, the challenges, and the massive technical innovations behind it—including bare-metal servers, Firecracker microVMs, and unikernels. If you care about databases, performance, or scaling, this one’s for you.Want to learn more Postgres? Check out my Postgres course: https://masteringpostgres.com.Follow Søren:Twitter: https://twitter.com/sorenbsGitHub: https://github.com/prisma/prismaPrisma Postgres: https://www.prisma.io/postgresFollow Aaron:Twitter:  https://twitter.com/aarondfrancis LinkedIn: https://www.linkedin.com/in/aarondfrancisWebsite: https://aaronfrancis.com - find articles, podcasts, courses, and more.Chapters:00:00 - Introduction01:15 - The Origins of Prisma: From GraphQL to ORM02:55 - Why Firebase & Parse Inspired Prisma04:04 - The Pivot: From GraphQL to Prisma ORM06:00 - Why They Abandoned Backend-as-a-Service08:07 - The Open Source Business Model Debate10:15 - The Challenges of Monetizing an ORM12:42 - Building Prisma Accelerate & Pulse14:55 - How Prisma Accelerate Optimizes Database Access17:00 - Real-Time Database Updates with Prisma Pulse20:03 - How Prisma Pulse Handles Change Data Capture (CDC)23:15 - Users Wanted a Hosted Database (Even When Prisma Didn’t)25:40 - Why Prisma Finally Launched Prisma Postgres27:32 - Unikernels, Firecracker MicroVMs & Running Millions of Databases31:10 - Bare Metal Servers vs. AWS: The Controversial Choice34:40 - How Prisma Routes Queries for Low Latency38:02 - Scaling, Cost Efficiency & Performance Benefits42:10 - The Prisma Postgres Roadmap & Future Features45:30 - Why Prisma is Competing with AWS & The Big Cloud Players48:05 - Final Thoughts & Where to Learn More

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Glauber Costa, CEO of Turso, discusses the journey from a database enthusiast to CEO, forking SQLite to build a community, developing libSQL for serverless environments, implementing vector search embedding for AI, and future plans for libSQL and Turso.

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