Amazon Web Services → Microsoft Azure
Azure equivalent of Managed MLflow on SageMaker AI
Managed MLflow on SageMaker AI maps to MLflow in Azure Machine Learning.
About Managed MLflow on SageMaker AI
| Provider | Amazon Web Services |
|---|---|
| Status | Generally available |
| What it is | Fully managed MLflow for experiment tracking, a model registry, and GenAI tracing and evaluation. |
| Documentation | docs.aws.amazon.com |
| Pricing | Official pricing page |
Azure mappings (1)
| Capability | Azure equivalent | Match |
|---|---|---|
| Experiment tracking (MLflow) | MLflow in Azure Machine Learning | Direct match |
MLOps & responsible AI(1)
Experiment tracking (MLflow) Direct match
Managed MLflow on SageMaker AI maps to MLflow in Azure Machine Learning. On Azure, every workspace is an MLflow-compatible tracking server.
- SageMaker provisions managed MLflow tracking servers/apps that you size, and adds GenAI tracing and evaluation.
- Azure ML needs no separate server. Point the MLflow client at the workspace URI. Fabric Data Science also uses MLflow natively.