Google Cloud → AWS and Azure
AWS and Azure equivalents of Agent Platform AutoML
The closest AWS equivalents of Google Cloud Agent Platform AutoML are SageMaker Autopilot, Amazon SageMaker Canvas and Amazon Rekognition Custom Labels; on Azure, Azure ML automated ML (AutoML), Azure ML Designer and Azure Custom Vision.
About Agent Platform AutoML
| Provider | Google Cloud |
|---|---|
| Status | Generally available AutoML Text shut down Jun 15, 2025 and AutoML Video shut down Jul 31, 2025. Tabular and image AutoML remain. |
| What it is | Trains tabular (classification, regression, forecasting) and image models from your data with little or no code. |
| Documentation | docs.cloud.google.com |
| Pricing | Official pricing page |
Mappings (3)
| Capability | AWS | Match (GCP vs AWS) | Azure |
|---|---|---|---|
| AutoML | SageMaker Autopilot, Amazon SageMaker Canvas | Direct match | Azure ML automated ML (AutoML) |
| No-code ML for analysts | Amazon SageMaker Canvas | Partial match | Azure ML automated ML (AutoML), Azure ML Designer |
| Custom image classification & detection | Amazon Rekognition Custom Labels | Direct match | Azure Custom Vision Deprecated, Azure ML automated ML (AutoML) |
AutoML Direct match
SageMaker Autopilot maps to Agent Platform AutoML for tabular (classification, regression, forecasting) and image models.
- AutoML Text and AutoML Video were shut down in 2025. For text tasks, tune Gemini instead.
- BigQuery ML offers AutoML-style training from SQL as another route.
No-code ML for analysts Partial match
SageMaker Canvas has no direct counterpart. Agent Platform AutoML has a console workflow, and BigQuery ML lets analysts train models with SQL.
- Neither is a spreadsheet-style, business-analyst app like Canvas.
- Gemini in BigQuery can help write SQL and BigQuery ML statements.
Custom image classification & detection Direct match
Rekognition Custom Labels maps to AutoML image classification and object detection on Agent Platform.
- Trained models are deployed to endpoints (node-hours) or exported, instead of being started and stopped like Custom Labels models.