kitio.aiAmazon SageMaker vs Cloudera AI
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 Cloudera AI 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
- AI Workbench
- AI Inference service
- AI Studios
- Hybrid cloud and on-premises
- Shared governance with the data platform
| Feature | Amazon SageMaker | Cloudera AI |
|---|---|---|
| Best for | AWS platform for building, training and deploying ML and AI models | Enterprise platform for building and serving AI next to your data |
| 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 | Cloudera |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Amazon SageMaker starts at See pricing page and Cloudera AI 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
3 plans
Machine Learning
$0.20 / CCU
- Cloud ML workspaces
- GPU pricing differs
AI Inference
$0.25 / CCU
- Model serving on Cloudera cloud
On premises
Contact sales
- Annual subscription
- Business support included
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
Cloudera AI
- Runs in the cloud or on premises
- Close to existing Cloudera data
- Usage-based billing on cloud
- Built for large enterprises
- Pricing in compute units is hard to predict
- On-premises pricing requires sales
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 Cloudera AI if you want:
- Runs in the cloud or on premises
- Close to existing Cloudera data
- Usage-based billing on cloud
Watch out: built for large enterprises.
Amazon SageMaker vs Cloudera AI FAQ
What is the difference between Amazon SageMaker and Cloudera AI?
Amazon SageMaker: AWS platform for building, training and deploying ML and AI models. Cloudera AI: Enterprise platform for building and serving AI next to your data. Both are models & apis tools.
Is Amazon SageMaker or Cloudera AI cheaper?
Amazon SageMaker starts at See pricing page and Cloudera AI starts at See pricing page. Check both pricing pages for current plans.
Do Amazon SageMaker and Cloudera AI have free plans?
Amazon SageMaker: No. Cloudera AI: No.
Who makes Amazon SageMaker?
Amazon SageMaker is made by Amazon Web Services, based in United States.
Who makes Cloudera AI?
Cloudera AI is made by Cloudera, based in United States.
Which should I choose, Amazon SageMaker or Cloudera AI?
Choose Amazon SageMaker if you value covers the full ml lifecycle and deep integration with other aws services. Choose Cloudera AI if you value runs in the cloud or on premises and close to existing cloudera data.