MLOps & responsible AI · AWS vs Google Cloud
Amazon SageMaker Feature Store vs Agent Platform Feature Store
SageMaker Feature Store maps to Agent Platform Feature Store, which uses BigQuery tables and views as the offline store and syncs features to online stores.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon SageMaker Feature Store | Agent Platform Feature Store |
| Lifecycle | Generally available | The current Feature Store uses BigQuery as its offline store. Legacy Feature Store and Optimized online serving are deprecated (sunset Feb 17, 2027). |
| What it is | Online (low-latency latest values) and offline (historical) feature stores, organized as feature groups. | Feature registry over BigQuery tables and views, with online stores for low-latency serving. |
| Pricing model | Online store billed by read/write units and storage. Offline store billed at S3 rates. | Billed for online serving and data sync, plus BigQuery storage and queries. See the Feature Store section of the pricing page. |
| Docs | Amazon SageMaker Feature Store docs | Agent Platform Feature Store docs |
| Pricing page | Amazon SageMaker Feature Store pricing | Agent Platform Feature Store pricing |
Key differences
- Your BigQuery data is the source of truth; you register feature groups over BigQuery tables instead of ingesting into a separate offline store.
- Legacy Feature Store and Optimized online serving are deprecated, with sunset on Feb 17, 2027. Use Bigtable online serving for new work.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Online store billed by read/write units and storage. Offline store billed at S3 rates. Amazon SageMaker Feature Store pricing →
- GCP
- Billed for online serving and data sync, plus BigQuery storage and queries. See the Feature Store section of the pricing page. Agent Platform Feature Store pricing →
And on Azure?
Direct match Azure's equivalent is Azure ML managed feature store. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Amazon SageMaker Feature Store?
SageMaker Feature Store maps to Agent Platform Feature Store, which uses BigQuery tables and views as the offline store and syncs features to online stores.
How does pricing compare between Amazon SageMaker Feature Store and Agent Platform Feature Store?
AWS: Online store billed by read/write units and storage. Offline store billed at S3 rates. Google Cloud: Billed for online serving and data sync, plus BigQuery storage and queries. See the Feature Store section of the pricing page. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure ML managed feature store (direct match). Amazon SageMaker Feature Store maps to the Azure Machine Learning managed feature store.