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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 added transactional semantics for safer multi-write retries, closing a long-standing reliability gap. On price it is not close: Prefect Cloud Starter at $100 / month beats self-managed Airflow the moment any FTE is loaded, and a full 8-seat Team plan at $800 / month still does.

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 across workload sizes

WorkloadAirflowPrefect
Free tierFree (OSS)Hobby free: 2 users, 5 deployments
Small team managedMWAA ~$1,200/mo or Astronomer ~$2,500/moStarter $100/mo (3 users, 20 deployments)
Mid-market managedAstronomer ~$2,500/moTeam $800/mo at the 8-user ceiling, billed annually
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 Starter at $100/mo
  • Write-heavy pipelines: Prefect 3 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.