MLOps & responsible AI · AWS vs Google Cloud
SageMaker Model Registry vs Agent Platform Model Registry
SageMaker Model Registry maps to Agent Platform Model Registry, which versions models, assigns aliases, and deploys to endpoints.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | SageMaker Model Registry | Agent Platform Model Registry |
| Lifecycle | Generally available | Generally available |
| What it is | Catalog of model versions with metadata, approval status, lineage, and Model Cards. | Central registry of model versions, aliases, and evaluations, with deployment to endpoints. |
| Pricing model | No separate charge beyond storage. | No separate charge for the registry; you pay for model storage and deployment. |
| Docs | SageMaker Model Registry docs | Agent Platform Model Registry docs |
| Pricing page | SageMaker Model Registry pricing | Agent Platform Model Registry pricing |
Key differences
- BigQuery ML models can be registered in the same registry.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- No separate charge beyond storage. SageMaker Model Registry pricing →
- GCP
- No separate charge for the registry; you pay for model storage and deployment. Agent Platform Model Registry pricing →
And on Azure?
Direct match Azure's equivalent is Azure ML model registry & registries. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of SageMaker Model Registry?
SageMaker Model Registry maps to Agent Platform Model Registry, which versions models, assigns aliases, and deploys to endpoints.
How does pricing compare between SageMaker Model Registry and Agent Platform Model Registry?
AWS: No separate charge beyond storage. Google Cloud: No separate charge for the registry; you pay for model storage and deployment. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure ML model registry & registries (direct match). SageMaker Model Registry maps to the Azure Machine Learning model registry and cross-workspace registries.