What is Azure Machine Learning used for?

Azure Machine Learning is Microsoft's cloud service for training, deploying and managing machine learning models, offered as machine learning as a service. It is a good fit for data science teams training models in Azure and organizations operationalizing ML with MLOps.

How much does Azure Machine Learning cost?

Azure Machine Learning is a paid product with no free plan.

Is Azure Machine Learning open source?

No. Azure Machine Learning is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Azure Machine Learning include OpenPAI, MLflow and KubeDL.

What are some alternatives to Azure Machine Learning?

Azure Machine Learning competes with Amazon SageMaker, Google Vertex AI and DataRobot. For open-source options, see Enlisted's ranked list of open-source Azure Machine Learning alternatives.

Azure Machine Learning: features, pricing and alternatives

About Azure Machine Learning

Azure Machine Learning is a managed Microsoft Azure service for building and operating machine learning models. Microsoft markets it as machine learning as a service that makes model development more accessible and efficient for data science teams.

It sits within the Azure portfolio next to services for data, containers and monitoring, and Microsoft groups it under machine learning operations. Typical use includes training models on cloud compute, tracking and registering them, and deploying them for inference, all inside an Azure subscription and under the same access controls as other Azure resources.

Azure Machine Learning is a proprietary, cloud-hosted service. Costs follow standard Azure billing, with details published on Microsoft's Azure pricing pages.

Key features

Managed model training on Azure compute
Model registry and deployment endpoints
MLOps tooling for operating models
Integration with other Azure services
Access control through Azure subscriptions

Good fit for

→Data science teams training models in Azure
→Organizations operationalizing ML with MLOps

Tags: azure; machine-learning; mlops; model-training; model-deployment; microsoft; managed-service

Azure Machine Learning: questions and answers

What is Azure Machine Learning used for?: Azure Machine Learning is Microsoft's cloud service for training, deploying and managing machine learning models, offered as machine learning as a service. It is a good fit for data science teams training models in Azure and organizations operationalizing ML with MLOps.
How much does Azure Machine Learning cost?: Azure Machine Learning is a paid product with no free plan.
Is Azure Machine Learning open source?: No. Azure Machine Learning is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Azure Machine Learning include OpenPAI, MLflow and KubeDL.
What are some alternatives to Azure Machine Learning?: Azure Machine Learning competes with Amazon SageMaker, Google Vertex AI and DataRobot. For open-source options, see Enlisted's ranked list of open-source Azure Machine Learning alternatives.