ML platform (SageMaker AI ↔ Azure ML) · AWS vs Google Cloud
Amazon SageMaker AI vs Gemini Enterprise Agent Platform (formerly Vertex AI)
SageMaker AI maps to Gemini Enterprise Agent Platform (formerly Vertex AI), which covers training, inference, pipelines, feature store, registry, and notebooks.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon SageMaker AI | Gemini Enterprise Agent Platform (formerly Vertex AI) |
| Lifecycle | Renamed from "Amazon SageMaker" on Dec 3, 2024. API namespaces are unchanged. | Vertex AI was renamed Gemini Enterprise Agent Platform on Apr 22, 2026. The Python SDK and many API names still say "Vertex AI". |
| What it is | Fully managed service to build, train, and deploy ML models. | Google Cloud's unified platform for generative AI models, agents, and classic ML (training, inference, pipelines, feature store, model registry). |
| Pricing model | Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. | Pay-as-you-go per component: node-hours for training and inference, plus storage and per-call charges for managed features. |
| Docs | Amazon SageMaker AI docs | Gemini Enterprise Agent Platform (formerly Vertex AI) docs |
| Pricing page | Amazon SageMaker AI pricing | Gemini Enterprise Agent Platform (formerly Vertex AI) pricing |
Key differences
- Generative AI and classic ML live on one platform on Google Cloud; AWS splits them between Bedrock and SageMaker AI.
- Docs and the console use the new name, while the SDK is still google-cloud-aiplatform (vertexai module).
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. Amazon SageMaker AI pricing →
- GCP
- Pay-as-you-go per component: node-hours for training and inference, plus storage and per-call charges for managed features. Gemini Enterprise Agent Platform (formerly Vertex AI) pricing →
And on Azure?
Direct match Azure's equivalent is Azure Machine Learning. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Amazon SageMaker AI?
SageMaker AI maps to Gemini Enterprise Agent Platform (formerly Vertex AI), which covers training, inference, pipelines, feature store, registry, and notebooks.
How does pricing compare between Amazon SageMaker AI and Gemini Enterprise Agent Platform (formerly Vertex AI)?
AWS: Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. Google Cloud: Pay-as-you-go per component: node-hours for training and inference, plus storage and per-call charges for managed features. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure Machine Learning (direct match). The Azure equivalent of Amazon SageMaker AI is Azure Machine Learning.