MLOps & responsible AI · AWS vs Google Cloud
Managed MLflow on SageMaker AI vs Agent Platform Experiments
There is no managed MLflow on Agent Platform.
The closest feature is Experiments, which tracks runs, parameters, and metrics with TensorBoard.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Managed MLflow on SageMaker AI | Agent Platform Experiments |
| Lifecycle | Generally available | Generally available |
| What it is | Fully managed MLflow for experiment tracking, a model registry, and GenAI tracing and evaluation. | Tracks runs, parameters, and metrics, with TensorBoard integration, for comparing training experiments. |
| Pricing model | Billed per tracking server size per hour plus storage. | Experiments metadata is stored in Agent Platform; TensorBoard has its own pricing section on the Agent Platform pricing page. |
| Docs | Managed MLflow on SageMaker AI docs | Agent Platform Experiments docs |
| Pricing page | Managed MLflow on SageMaker AI pricing | Agent Platform Experiments pricing |
Key differences
- You can self-host MLflow on Cloud Run or GKE if you need MLflow APIs.
- SageMaker offers managed MLflow tracking servers; Experiments uses the Vertex AI SDK instead.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Billed per tracking server size per hour plus storage. Managed MLflow on SageMaker AI pricing →
- GCP
- Experiments metadata is stored in Agent Platform; TensorBoard has its own pricing section on the Agent Platform pricing page. Agent Platform Experiments pricing →
And on Azure?
Direct match Azure's equivalent is MLflow in Azure Machine Learning. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Managed MLflow on SageMaker AI?
There is no managed MLflow on Agent Platform. The closest feature is Experiments, which tracks runs, parameters, and metrics with TensorBoard.
How does pricing compare between Managed MLflow on SageMaker AI and Agent Platform Experiments?
AWS: Billed per tracking server size per hour plus storage. Google Cloud: Experiments metadata is stored in Agent Platform; TensorBoard has its own pricing section on the Agent Platform pricing page. Check the official pricing pages for current rates.
What is the Azure equivalent?
MLflow in Azure Machine Learning (direct match). Managed MLflow on SageMaker AI maps to MLflow in Azure Machine Learning.