Microsoft Azure → Amazon Web Services
AWS equivalent of Azure ML automated ML (AutoML)
The closest AWS equivalents of Azure ML automated ML (AutoML) are SageMaker Autopilot, Amazon SageMaker Canvas, Amazon Rekognition Custom Labels and Amazon Forecast.
About Azure ML automated ML (AutoML)
| Provider | Microsoft Azure |
|---|---|
| Status | Generally available |
| What it is | AutoML for classification, regression, forecasting, computer vision, and NLP, from code (SDK/CLI v2) or a no-code studio UI. |
| Documentation | learn.microsoft.com |
| Pricing | Official pricing page |
AWS mappings (4)
| Capability | AWS equivalent | Match |
|---|---|---|
| AutoML | SageMaker Autopilot, Amazon SageMaker Canvas | Direct match |
| No-code ML for analysts | Amazon SageMaker Canvas | Partial match |
| Custom image classification & detection | Amazon Rekognition Custom Labels | Partial match |
| Time-series forecasting | Amazon Forecast Maintenance, Amazon SageMaker Canvas | Partial match |
ML platform (SageMaker AI ↔ Azure ML)(2)
AutoML Direct match
SageMaker Autopilot (now surfaced in SageMaker Canvas) maps to Azure Machine Learning automated ML.
- Azure AutoML covers classification, regression, forecasting, computer vision (image classification, detection, segmentation), and NLP, from code or the studio UI.
- Autopilot's UI moved to Canvas in 2023, and the Autopilot APIs remain for code users.
- Azure AutoML for images is Microsoft's recommended replacement for the retiring Custom Vision.
No-code ML for analysts Partial match
SageMaker Canvas maps partially to the no-code AutoML UI and Designer in Azure Machine Learning studio. Azure has no single analyst-focused product with the same scope.
- Canvas bundles data prep, AutoML (tabular, time series, text, image), ready-to-use models (document, vision, language), and foundation-model chat in one analyst app. It's also the recommended path for Forecast customers.
- On Azure, analysts typically use the AutoML UI or Designer in Azure ML studio, or the Fabric Data Science and Power BI AI features. Those are separate products, not one app.
Vision & documents(1)
Custom image classification & detection Partial match
Rekognition Custom Labels maps to Azure Custom Vision, but Custom Vision is retiring (supported until September 25, 2028). Microsoft recommends Azure ML AutoML for images, Foundry models, or Content Understanding for new work.
- Custom Labels runs as a managed model you start and stop (billed per inference hour).
- Azure ML AutoML for images gives you full control (classification, detection, segmentation) but requires you to deploy and manage an endpoint.
Industry & specialized ML(1)
Time-series forecasting Partial match
Amazon Forecast (no new customers since July 2024) maps to Azure Machine Learning AutoML forecasting. AWS itself points Forecast users to SageMaker Canvas.
- Forecast was a turnkey forecasting API. Azure AutoML forecasting trains and deploys models in your workspace, so you manage endpoints and retraining.