kitio.aiAzure Machine Learning vs Cloudera AI
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Azure Machine Learning 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
- AutoML
- Drag-and-drop designer
- Managed compute and endpoints
- Model registry
- MLflow tracking
- Prompt flow
- AI Workbench
- AI Inference service
- AI Studios
- Hybrid cloud and on-premises
- Shared governance with the data platform
| Feature | Azure Machine Learning | Cloudera AI |
|---|---|---|
| Best for | Microsoft's cloud platform for training, deploying and managing ML 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 | Microsoft | Cloudera |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Azure Machine Learning 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
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
Azure Machine Learning
- Covers the full model lifecycle
- Code-first and low-code options
- Strong enterprise security on Azure
- Compute costs are hard to predict
- Steep learning curve for newcomers
- Tied to the Azure ecosystem
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 Azure Machine Learning if you want:
- Covers the full model lifecycle
- Code-first and low-code options
- Strong enterprise security on Azure
Watch out: compute costs are 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.
Azure Machine Learning vs Cloudera AI FAQ
What is the difference between Azure Machine Learning and Cloudera AI?
Azure Machine Learning: Microsoft's cloud platform for training, deploying and managing ML models. Cloudera AI: Enterprise platform for building and serving AI next to your data. Both are models & apis tools.
Is Azure Machine Learning or Cloudera AI cheaper?
Azure Machine Learning starts at See pricing page and Cloudera AI starts at See pricing page. Check both pricing pages for current plans.
Do Azure Machine Learning and Cloudera AI have free plans?
Azure Machine Learning: No. Cloudera AI: No.
Who makes Azure Machine Learning?
Azure Machine Learning is made by Microsoft, based in United States.
Who makes Cloudera AI?
Cloudera AI is made by Cloudera, based in United States.
Which should I choose, Azure Machine Learning or Cloudera AI?
Choose Azure Machine Learning if you value covers the full model lifecycle and code-first and low-code options. Choose Cloudera AI if you value runs in the cloud or on premises and close to existing cloudera data.