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|---|---|---|---|---|
| Features | AWS | GCP | Azure | Databricks |
| Data pipeline | Data Pipeline | Dataflow | Data Factory | Spark |
| Feature Store | Sagemaker Feature Store | --- | --- | --- |
| Model Monitoring | Model Monitor | AI Platform | Azure Monitor | --- |
| Experiment Management | SageMaker Experiments | MLFlow Tracking (Manual) | Azure ML Python SDK - MLFlow Tracking | MLFlow Tracking |
| Model versioning | Production Variants | Versions | Model registration | MLflow Model Registry |
| A/B Testing | Sagemaker | --- | Controlled Rollout (Preview) | --- |
| Model Serving | Sagemaker | AI Platform | Azure Machine Learning | MLFlow Model Serving |
| AutoML | Autopilot | Cloud AutoML | AutomatedML | --- |
| Notebooks | Sagemaker Notebooks | AI Platform Notebooks | Microsoft Azure Notebooks | Notebooks |
| Labelling | Sagemaker Ground Truth | AI Platform Labelling Pre-GA | Azure Machine Learning | --- |
Forked from AshHimself/machine-learning-platforms-compared.md
Last active
December 10, 2020 13:46
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