How did Oracle become the dominant database? Not because it was better. Mike Stonebraker was there when IBM's DB2 release killed Ingres's momentum and handed Oracle the market. A firsthand account of…

"90% of enterprise programmers are doing maintenance." Mike Stonebraker says the highest-leverage application of AI isn't writing new code. It's maintaining 30-year-old codebases that have been…

"A trillion dollars is arrayed against us." At 82, Mike Stonebraker is betting that SQL, not LLMs, should orchestrate enterprise data queries. His research team built Rubicon to prove it. Full…

"At the beginning, they said don't use SQL. Then not only SQL. Now? Not yet SQL." Mike Stonebraker's three-word history of the NoSQL movement from the person who called its failure in 2010. Full…

"Don't ever bet against the compiler." Mike Stonebraker won the Turing Award for his work on relational databases. He explains why 40 years of history prove that NoSQL's rejection of SQL was always…

LLMs score 80% on text-to-SQL benchmarks. On MIT's real 1,400-table data warehouse, they score 10%. Turing Award winner Mike Stonebraker breaks down why academic benchmarks hide the real difficulty…

On episode 11 of Data Renegades, CL Kao sits down with Michael Stonebraker, legendary database pioneer and creator of Ingres and Postgres.

In town for Snowflake Summit? Come decompress. Join us for drinks, good conversation, and zero keynote slides. 😉 We're bringing together data practitioners…

Data PR review breaks when the base and current environments are built differently. Here is why, and how session base per PR fixes the false alarms.

Text-to-SQL benchmarks show 80% accuracy. A Turing Award winner tested the same models on a real 1,400-table warehouse and got 10%. Here is why.

Quality gates are what make Recce's agent-driven development actually work. Here's the pre-commit hooks, linting config, and review process keeping AI-written code production-ready.

How Recce built a Claude Code plugin to share team knowledge, voice, product context, and workflows, across every AI session.

I built a self-improving AI skill system for analytics engineering at Recce. Here's the framework, a real bug it caught, and how we scaled it.

Code changes have AI review tools. Data changes don' - until now. Here's how we went from a single prompt to an AI agent that performs the first pass on data validation in every PR.

AI coding assistants already help you ship software faster. But when it comes to data, the stakes are different. One bad pipeline change can corrupt production…

AI coding assistants already help you ship software faster. But when it comes to data, the stakes are different. One bad pipeline change can corrupt production…

Code changes have AI review tools. Data changes don' - until now. Here's how we went from a single prompt to an AI agent that performs the first pass on data validation in every PR.