Compare
Airflow vs Prefect
Prefect's Pythonic flow API is easier to onboard a Python-first team to; Airflow's DAG-as-code has the larger operator ecosystem. Prefect 3.0 added transactional semantics for safer multi-write retries, closing a long-standing reliability gap. Prefect Pro at $450 / month often beats self-managed Airflow once FTE is loaded.
Pick Airflow when
- › Operator ecosystem breadth is a hard requirement.
- › Team is already invested in Airflow patterns.
- › Self-managed Kubernetes infrastructure exists.
- › DAG-as-code is the preferred mental model.
Pick Prefect when
- › Team is Python-first and values a Pythonic flow API.
- › Transactional semantics for write-heavy pipelines matter.
- › Managed cloud preference outweighs ecosystem breadth.
- › Dynamic workflows and parameterised runs are common.
Price comparison at three workload sizes
| Workload | Airflow | Prefect |
|---|---|---|
| Free tier | Free (OSS) | Free (limited concurrency) |
| Mid-market managed | MWAA ~$1,200/mo or Astronomer ~$2,500/mo | Pro $450/mo |
| Self-managed + 0.5 FTE | $11,250-$13,500/mo | $12,500-$14,000/mo |
Estimates from each vendor's published pricing page. Tune to your shape with the /tco-calculator.
Decision aid
- Python-first team: Prefect
- Ecosystem breadth: Airflow
- Cheapest managed: Prefect Pro at $450/mo
- Write-heavy pipelines: Prefect 3.0 transactional semantics
Related
Written by Oliver Wakefield-Smith, Founder of Digital Signet. Independent reference, no vendor sponsorship.
Sources logged at /sources. Pricing-change history at /changelog. Last reviewed 2026-06-21.