Data Stack Articles
Technical analysis of why the modern data stack is broken. Real-world lessons on building unified, scalable data platforms without the bloat.
Stack Drift
Why mature data stacks keep accumulating copy layers, and how direct relational federation gives dbt a simpler path over live operational sources.
Introducing Altertable Workers
Most data platforms ask you to send the data to them. Altertable Workers flip that model; the runtime moves to where the data already lives.
Lakehouse table formats in 2026
There is no single “winning” lakehouse table format in 2026. What has emerged instead is a more interesting split.
Rethinking the Lakehouse
Breaking down our storage and query architecture: why we're leaning into Apache Iceberg and why DuckDB is emerging as our real-time query engine of choice.
The Data Stack Is Broken
Most data sits idle—trapped behind complexity, bloated budgets, and brittle tooling. The modern data stack promised agility but delivered a slow, siloed maze.