kitio.aiAmazon SageMaker vs Valohai
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Amazon SageMaker starts at See pricing page and Valohai starts at See pricing page. Check both pricing pages for current plans.
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
- LLM model comparison
- Regression testing
- Pipelines and automation
- Multi-cloud and on-prem compute
- Full lineage and versioning
| Feature | Amazon SageMaker | Valohai |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | MLOps platform for LLM and custom model workflows on your own cloud |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Amazon Web Services | Valohai |
| Based in | United States | Finland |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Amazon SageMaker starts at See pricing page and Valohai starts at See pricing page. Check both pricing pages for current plans.
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 Nov 5, 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
Valohai
- Runs on your own cloud or hardware
- Full reproducibility of experiments
- Unlimited projects and experiments
- No public prices; sales contact needed
- Aimed at ML teams, not beginners
- Per-user pricing adds up for large teams
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 Valohai if you want:
- Runs on your own cloud or hardware
- Full reproducibility of experiments
- Unlimited projects and experiments
Watch out: no public prices; sales contact needed.
Amazon SageMaker vs Valohai FAQ
What is the difference between Amazon SageMaker and Valohai?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Valohai: MLOps platform for LLM and custom model workflows on your own cloud. Both are models & apis tools.
Is Amazon SageMaker or Valohai cheaper?
Amazon SageMaker starts at See pricing page and Valohai starts at See pricing page. Check both pricing pages for current plans.
Do Amazon SageMaker and Valohai have free plans?
Amazon SageMaker: No. Valohai: No.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Valohai?
Valohai is made by Valohai, based in Finland.
Which should I choose, Amazon SageMaker or Valohai?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Valohai if you value runs on your own cloud or hardware and full reproducibility of experiments.