ML platform (SageMaker AI ↔ Azure ML)
Amazon SageMaker Studio vs Azure Machine Learning studio & compute instances
Amazon SageMaker Studio maps to Azure Machine Learning studio with compute instances (JupyterLab and VS Code).
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker Studio | Azure Machine Learning studio & compute instances |
| Lifecycle | Generally available | Generally available |
| What it is | Web IDE suite for ML. JupyterLab, Code Editor (Code-OSS), RStudio, and Studio Classic. | Web portal with notebooks, plus compute instances (managed dev VMs) that work with JupyterLab and VS Code. |
| Pricing model | Per-second billing for the instance backing each running app/space, plus storage. | Per-hour billing for the compute instance VM while running, plus storage. |
| Docs | Amazon SageMaker Studio docs | Azure Machine Learning studio & compute instances docs |
| Pricing page | Amazon SageMaker Studio pricing | Azure Machine Learning studio & compute instances pricing |
| Exams | MLA-C01 Retiring | AI-300 |
Key differences
- SageMaker Studio bundles JupyterLab, Code Editor (Code-OSS), RStudio, and Studio Classic as apps on per-user spaces.
- Azure ML compute instances are per-user managed VMs that you open in JupyterLab, VS Code (desktop or web), or studio notebooks. Idle shutdown and schedules control cost.
- The legacy SageMaker Studio Classic still exists for existing customers.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Per-second billing for the instance backing each running app/space, plus storage. Amazon SageMaker Studio pricing →
- Azure
- Per-hour billing for the compute instance VM while running, plus storage. Azure Machine Learning studio & compute instances pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Machine Learning Engineer – Associate MLA-C01 | AWS | Associate | retiring Being updated to MLA-C02 (beta registration opened Sep 1, 2026). Last day for MLA-C01 in English was Sep 28, 2026; Korean, Japanese, and Simplified Chinese remain until MLA-C02 GA. |
| Microsoft Certified – Machine Learning Operations Engineer Associate AI-300 | Azure | Associate | current MLOps and GenAIOps infrastructure on Azure (IaC with Bicep/CLI, GitHub Actions). Closest successor in scope to the retired DP-100. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon SageMaker Studio?
Amazon SageMaker Studio maps to Azure Machine Learning studio with compute instances (JupyterLab and VS Code).
How does pricing compare between Amazon SageMaker Studio and Azure Machine Learning studio & compute instances?
AWS: Per-second billing for the instance backing each running app/space, plus storage. Azure: Per-hour billing for the compute instance VM while running, plus storage. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Machine Learning Engineer – Associate (MLA-C01) [retiring]; Microsoft Certified – Machine Learning Operations Engineer Associate (AI-300).