Transformation: dbt vs SQLMesh vs raw SQL

Transformation: dbt vs SQLMesh vs raw SQL

Four reads on the modeling layer that ages your stack well or badly.

1️⃣ dbt as the default — the ecosystem and hiring pool make it the safe pick, even where it's not the best engine. Source: Modern Data Stack newsletter.
2️⃣ SQLMesh's virtual environments — column-level lineage and no-rebuild dev stages are the real pitch against dbt. Via Tobiko Data blog.
3️⃣ When raw SQL and a scheduler suffice — under twenty models, a framework is ceremony you don't need yet. Source: Locally Optimistic.
4️⃣ Incremental models are where teams cut themselves — the read on late-arriving data and why full-refresh is sometimes saner. Via dbt Labs docs.

Essential if your transformation logic lives in a tangle of scheduled queries nobody trusts.

That's the stack for this week. Forward to a teammate.