Mage vs Prefect
On the evidence we track, Prefect leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Mage
A platform combining AI orchestration, data validation, and automated issue resolution to manage and optimize production data workflows.
Prefect
LeaderA Python-native workflow automation platform that handles scheduling, retries, caching, and recovery for data pipelines and AI agent workflows, with both cloud-managed and self-hosted execution options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Mage
From $29/month (Starter). Free 7-day trial, no credit card required.
- Starter$29/month + $0.50 per CPU-hour. Includes 50 AI credits/month.
- Managed orchestration
- Alerts
- Monitoring
- Team$100/month. Includes 250 shared AI credits/month.
- Advanced controls
- Lineage
- Deployment workflows
- EnterpriseContact sales
Prefect
LeaderFree Hobby tier. Starter from $100/month. Team per-user monthly pricing. Enterprise custom quote.
- HobbyFree
- Workflow scheduling
- Up to 5 deployments
- 500 minutes of Prefect Serverless
- Workflow observability
- Logging & alerting
- +1 more
- Starter$100/mo
- All Hobby features
- Up to 20 deployments
- 75 hours of Prefect Serverless
- Bring your own compute
- Webhooks
- +1 more
- Team-
- All Starter features
- Up to 100 deployments
- 225 hours of Prefect Serverless
- Service accounts
- 24 hour audit log
- EnterpriseContact sales
- All Team features
- SSO (SAML/OIDC)
- RBAC + ACLs
- Multiple workspaces
- Directory Sync (SCIM)
- +2 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Kubernetes
- dbt
- Slack
Mage
- Apache Spark
- PySpark
- Kafka
- Stripe
- Salesforce
- BigQuery
- AWS EMR
- EHR systems
- Billing platforms
- Lab systems
- Clinical systems
- MySQL
Prefect
Leader- Pydantic AI
- OpenAI
- AWS Secrets Manager
- HashiCorp Vault
- Snowflake
- Redis
- Amazon ECS
- Docker
- Google Cloud Run
- GitHub
- AWS
Mage or Prefect: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.