SQLMesh vs dbt in 2026: Virtual Data Environments, Free Backfills, and When to Switch
Honest 2026 comparison of SQLMesh and dbt: virtual data environments, free backfills, Python models, dbt Fusion, and a real migration framework with code examples.
Data engineer making sure the pipelines feeding the models don't silently break at 3am. Big fan of dbt and bigger fan of testing.
Honest 2026 comparison of SQLMesh and dbt: virtual data environments, free backfills, Python models, dbt Fusion, and a real migration framework with code examples.
A field-tested comparison of Airflow 3, Prefect 3, and Dagster for Python data pipelines in 2026: dbt integration, partition backfills, testing in pytest, and observability tradeoffs that matter at 3am.
Every Polars-vs-pandas comparison I've read in the last year uses a 500MB CSV and announces that Polars is faster. I wanted to know what happens on the workload I actually run at work.