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dbt vs Airflow: which should you pick?
In short
dbt for SQL transformation; Airflow for orchestration across systems.
Short answer
dbt for SQL transformation; Airflow for orchestration across systems.
What's actually different
dbt models the warehouse — version-controlled SQL, tests, docs. Airflow orchestrates pipelines across heterogeneous systems. Most modern stacks run both.
How to choose
dbt for warehouse transformation; Airflow (or Dagster, Prefect) for cross-system orchestration.
How Forth helps
Forth Systems works across both dbt and Airflow in production. Engagements typically start with a paid, fixed-scope assessment that recommends the right fit for your specific workload, team and regulatory context — not a default answer.
Frequently asked questions
Is dbt better than Airflow?
Neither is universally better — the right pick depends on your workload, your team and your constraints. dbt for SQL transformation; Airflow for orchestration across systems.
Can you migrate from dbt to Airflow (or back)?
Yes — migrations between dbt and Airflow are common and rarely as painful as feared, provided the migration is sliced and ships in measurable increments rather than as a big-bang cutover.
Do you work with both in regulated environments?
Yes — Forth Systems delivers dbt and Airflow engagements into FCA-regulated banks, payment institutions and insurers, with output mapped to the relevant control evidence requirements.
How do we choose for our specific case?
Start with a fixed-scope assessment that compares both options against your real workload, team skill, regulatory context and TCO — then decide.
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