Amazon Web Services → Microsoft Azure
Azure equivalent of Amazon SageMaker AI
The Azure equivalent of Amazon SageMaker AI is Azure Machine Learning.
About Amazon SageMaker AI
| Provider | Amazon Web Services |
|---|---|
| Status | Generally available Renamed from "Amazon SageMaker" on Dec 3, 2024. API namespaces are unchanged. |
| What it is | Fully managed service to build, train, and deploy ML models. |
| Documentation | docs.aws.amazon.com |
| Pricing | Official pricing page |
Azure mappings (1)
| Capability | Azure equivalent | Match |
|---|---|---|
| End-to-end ML platform | Azure Machine Learning | Direct match |
ML platform (SageMaker AI ↔ Azure ML)(1)
End-to-end ML platform Direct match
The Azure equivalent of Amazon SageMaker AI is Azure Machine Learning.
- Organizing unit. SageMaker AI uses domains and user profiles (Studio), while Azure ML uses workspaces (with hubs/projects shared with Foundry classic) and registries.
- Naming. "Amazon SageMaker" is now the umbrella for data + AI (Unified Studio), and the ML service is "SageMaker AI". On Azure, generative AI work has moved toward Microsoft Foundry, while Azure ML remains the classic ML/MLOps platform.
- Several SageMaker AI features (Clarify, Model Monitor, Ground Truth, A2I, Debugger) entered maintenance on June 30, 2026, while Azure ML's equivalents (Responsible AI dashboard, model monitoring) remain active. Azure ML data labeling, however, retired Sep 30, 2026.