- Starting price
- $100/mo
- Pricing
- Free plan
- Website
- www.prefect.io
About Prefect
Prefect is a Python-native workflow orchestrator for data, ML, and agents. It serves data engineers, ML teams, and operators, helping them build and run reliable, observable pipelines that adapt to changing data and runtimes.
Key Features
Prefect lets you write your business logic in Python and deploy it as scalable workflows that run wherever your code lives. It’s designed for data teams, ML engineers, and operators who need reliable, observable pipelines that adjust to changing data and run environments:
Python-native orchestration
You don’t need to rewrite code to make it reliable; a few annotations let existing Python flows run as-is.
Dynamic DAGs
The DAG adapts to data reality, preventing stalls when inputs change or jobs vary in runtime.
Observability and failure clarity
When something breaks, you see the root cause and the full context without heavy digging.
Flexible deployment and environment isolation
Deploy per-flow environments (local, cloud, Kubernetes) and keep dependencies separate from each flow.
Summary
Best for data engineers, ML teams, and operations teams building data pipelines, ML workflows, and automation.
Pricing
View pricingPlans and prices as listed on prefect.io as of Sep 24, 2026.
Hobby
Free / forever
- Workflow scheduling
- 2 users
- Up to 5 deployments
- 500 min of Prefect Serverless
- Workflow observability
- Logging & alerting
- 7 days run retention
Starter
$100 / mo
- All Hobby features, plus
- 3 users
- Up to 20 deployments
- 75 hours of Prefect Serverless
- Bring your own compute
- Webhooks
- 1,250 API requests/min
Team
$100/user / mo
- All Starter features, plus
- 4-8 users
- Up to 100 deployments
- 225 hours of Prefect Serverless
- Service accounts
- 24 hour audit log
Enterprise
Custom
- All Team features, plus
- SSO (SAML/OIDC)
- RBAC + ACLs
- Multiple workspaces
- Directory Sync (SCIM)
- IP allowlisting & PrivateLink
- Unlimited deployments
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