kitio.aiAmazon SageMaker vs Metaflow
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Metaflow is completely free, while Amazon SageMaker is paid.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Model training and hosting
- Unified Studio
- Lakehouse architecture
- Data and AI governance
- Data agent
- Bedrock integration
- Workflows in plain Python
- Automatic versioning
- One-command production deploy
- Cloud compute and GPUs
- Event-based triggers
| Feature | Amazon SageMaker | Metaflow |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | Open-source Python framework for ML and AI workflows |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Free |
| Starting price | See pricing page | Free |
| Free plan | No | Yes, fully free |
| Made by | Amazon Web Services | Outerbounds |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Metaflow is completely free, while Amazon SageMaker is paid.
Free plan
Cheapest paid plan
Top plan
Free trial
2 plans
Pay as you go
Varies by service
- Billed per resource used
- Small monthly free allowances
Data Agent
$0.04 / credit
- Agent usage billed in credits
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Amazon SageMaker
- Covers the full ML lifecycle
- Deep integration with other AWS services
- Pay only for what you use
- Usage pricing is hard to predict
- Steep learning curve for newcomers
- Ties your stack to AWS
Metaflow
- Free and open source
- Same code runs locally and in production
- Tracks every step automatically
- Requires Python skills
- Cloud setup takes effort
Which one should you choose?
Choose Amazon SageMaker if you want:
- Covers the full ML lifecycle
- Deep integration with other AWS services
- Pay only for what you use
Watch out: usage pricing is hard to predict.
Choose Metaflow if you want:
- Free and open source
- Same code runs locally and in production
- Tracks every step automatically
Watch out: requires python skills.
Amazon SageMaker vs Metaflow FAQ
What is the difference between Amazon SageMaker and Metaflow?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Metaflow: Open-source Python framework for ML and AI workflows. Both are models & apis tools.
Is Amazon SageMaker or Metaflow cheaper?
Metaflow is completely free, while Amazon SageMaker is paid.
Do Amazon SageMaker and Metaflow have free plans?
Amazon SageMaker: No. Metaflow: Yes, fully free.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Metaflow?
Metaflow is made by Outerbounds.
Which should I choose, Amazon SageMaker or Metaflow?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Metaflow if you value free and open source and same code runs locally and in production.