ML platform (SageMaker AI ↔ Azure ML) · AWS vs Google Cloud
Amazon SageMaker Canvas vs Agent Platform AutoML / BigQuery ML
SageMaker Canvas has no direct counterpart.
Agent Platform AutoML has a console workflow, and BigQuery ML lets analysts train models with SQL.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon SageMaker Canvas | Agent Platform AutoML BigQuery ML |
| Lifecycle | Generally available | AutoML Text shut down Jun 15, 2025 and AutoML Video shut down Jul 31, 2025. Tabular and image AutoML remain. Generally available |
| What it is | No-code ML for analysts. Tabular, time series, text, and image predictions, plus access to foundation models. | Trains tabular (classification, regression, forecasting) and image models from your data with little or no code. Create and run ML models with SQL inside BigQuery, including forecasting (ARIMA_PLUS, TimesFM), anomaly detection, and calls to remote Gemini models. |
| Pricing model | Canvas bills a session charge per hour while logged in, plus training and prediction costs. | AutoML is billed per node-hour. BigQuery ML is billed through BigQuery compute (on-demand bytes processed or slots). |
| Docs | Amazon SageMaker Canvas docs | Agent Platform AutoML docs BigQuery ML docs |
| Pricing page | Amazon SageMaker Canvas pricing | Agent Platform AutoML pricing BigQuery ML pricing |
Key differences
- Neither is a spreadsheet-style, business-analyst app like Canvas.
- Gemini in BigQuery can help write SQL and BigQuery ML statements.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Canvas bills a session charge per hour while logged in, plus training and prediction costs. Amazon SageMaker Canvas pricing →
- GCP
- AutoML is billed per node-hour. BigQuery ML is billed through BigQuery compute (on-demand bytes processed or slots). Agent Platform AutoML pricing → BigQuery ML pricing →
And on Azure?
Partial match Azure's equivalent is Azure ML automated ML (AutoML), Azure ML Designer. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Amazon SageMaker Canvas?
SageMaker Canvas has no direct counterpart. Agent Platform AutoML has a console workflow, and BigQuery ML lets analysts train models with SQL.
How does pricing compare between Amazon SageMaker Canvas and Agent Platform AutoML and BigQuery ML?
AWS: Canvas bills a session charge per hour while logged in, plus training and prediction costs. Google Cloud: AutoML is billed per node-hour. BigQuery ML is billed through BigQuery compute (on-demand bytes processed or slots). Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure ML automated ML (AutoML) and Azure ML Designer (partial match). SageMaker Canvas maps partially to the no-code AutoML UI and Designer in Azure Machine Learning studio.