kitio.aiDigitalOcean vs Azure Machine Learning
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. DigitalOcean starts at See pricing page and Azure Machine Learning 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
- Hosted model inference
- Managed Agents
- Sandboxes for coding agents
- Action Gateway for tools
- Managed databases
- Containers and storage
- AutoML
- Drag-and-drop designer
- Managed compute and endpoints
- Model registry
- MLflow tracking
- Prompt flow
| Feature | DigitalOcean | Azure Machine Learning |
|---|---|---|
| Best for | Cloud for running AI inference, agents and apps in production | Microsoft's cloud platform for training, deploying and managing ML models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | DigitalOcean | Microsoft |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
DigitalOcean starts at See pricing page and Azure Machine Learning starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Inference
From $0.05 / M tokens
- Hosted AI models
- Single API
- No infrastructure to manage
Action Gateway
$0.10 / 1,000 calls
- 16,000+ tools
- Credentials kept from the model
- Retries and rate limits
Harness Runtime
From $0.0535 / hour
- Isolated microVM sessions
- Pause, resume and fork
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
DigitalOcean
- Inference through a single API
- Usage-based pricing is stated openly
- AI and standard cloud in one account
- Managed Agents is still a public preview
- No free plan listed
- Smaller catalog than the largest clouds
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
Which one should you choose?
Choose DigitalOcean if you want:
- Inference through a single API
- Usage-based pricing is stated openly
- AI and standard cloud in one account
Watch out: managed agents is still a public preview.
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.
DigitalOcean vs Azure Machine Learning FAQ
What is the difference between DigitalOcean and Azure Machine Learning?
DigitalOcean: Cloud for running AI inference, agents and apps in production. Azure Machine Learning: Microsoft's cloud platform for training, deploying and managing ML models. Both are models & apis tools.
Is DigitalOcean or Azure Machine Learning cheaper?
DigitalOcean starts at See pricing page and Azure Machine Learning starts at See pricing page. Check both pricing pages for current plans.
Do DigitalOcean and Azure Machine Learning have free plans?
DigitalOcean: No. Azure Machine Learning: No.
Who makes DigitalOcean?
DigitalOcean is made by DigitalOcean, based in United States.
Who makes Azure Machine Learning?
Azure Machine Learning is made by Microsoft, based in United States.
Which should I choose, DigitalOcean or Azure Machine Learning?
Choose DigitalOcean if you value inference through a single api and usage-based pricing is stated openly. Choose Azure Machine Learning if you value covers the full model lifecycle and code-first and low-code options.