MLOps & responsible AI
Amazon SageMaker Pipelines vs Azure Machine Learning pipelines / Azure ML Designer
Amazon SageMaker Pipelines maps to Azure Machine Learning pipelines.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker Pipelines | Azure Machine Learning pipelines Azure ML Designer |
| Lifecycle | Generally available | Generally available Classic prebuilt (v1) components get no new additions. Use custom (v2) components for new projects. |
| What it is | Serverless ML workflow orchestration with a visual editor, SDK, and lineage tracking. | Component-based ML workflows (SDK v2/CLI v2/Designer), schedulable and reusable through registries. Drag-and-drop pipeline builder. |
| Pricing model | No charge for orchestration. You pay for the jobs each step runs. | No charge for orchestration. You pay for the compute each step runs. |
| Docs | Amazon SageMaker Pipelines docs | Azure Machine Learning pipelines docs Azure ML Designer docs |
| Pricing page | Amazon SageMaker Pipelines pricing | Azure Machine Learning pipelines pricing Azure ML Designer pricing |
| Exams | MLA-C01 Retiring | AI-300 |
Key differences
- SageMaker Pipelines offers serverless orchestration with a drag-and-drop editor in Studio, the SDK, and JSON definitions, plus lineage tracking.
- Azure ML pipelines are built from reusable components (SDK v2/CLI v2/YAML). Designer is the visual builder. Components and environments can be shared through registries.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- No charge for orchestration. You pay for the jobs each step runs. Amazon SageMaker Pipelines pricing →
- Azure
- No charge for orchestration. You pay for the compute each step runs. Azure Machine Learning pipelines pricing → Azure ML Designer 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 Pipelines?
Amazon SageMaker Pipelines maps to Azure Machine Learning pipelines.
How does pricing compare between Amazon SageMaker Pipelines and Azure Machine Learning pipelines and Azure ML Designer?
AWS: No charge for orchestration. You pay for the jobs each step runs. Azure: No charge for orchestration. You pay for the compute each step runs. 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).