Microsoft Azure Machine Learning
NewCloud service for managing the machine learning lifecycle and MLOps
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Microsoft Azure Machine Learning ranks #7 of 61 in MLOps Platforms with an AI visibility score of 28.4 (SlateIndex, Nov 2, 2026).
- Microsoft Azure Machine Learning is most visible on ChatGPT (36.1) and least on Google AI Mode (18.5).
- AI engines name Microsoft Azure Machine Learning in 26 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- amazon.com is the source AI engines cite most in answers about Microsoft Azure Machine Learning, with 23 citations.
About
Company details for Microsoft Azure Machine Learning
Azure Machine Learning is a cloud service that accelerates and manages the machine learning project lifecycle. It includes MLOps tools to monitor, retrain and redeploy models, and tracks data assets, job history and registered models. Models can be deployed as batch or online managed endpoints. It ranks #7 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 28.4 in the latest weekly run.
- Website
- microsoft.com
- Categories
- MLOps Platforms
- Company size
- 5,000+ employees
- Headquarters
- Redmond, Washington
- Company type
- Division of Microsoft
- Deployment
- Cloud on Azure, with models also trainable and deployable on premises for data sovereignty requirements
- Compliance
- FedRAMP High, HIPAA
Read from en.wikipedia.org, gartner.com, learn.microsoft.com, microsoft.com, acom-sandbox.azure.net, windowsforum.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name Microsoft Azure Machine Learning
Who makes the most used MLOps platform?
Microsoft is currently the largest MLOps vendor by overall market revenue, but the answer depends on whether you're measuring commercial platforms or actual developer adoption.
Where can I sign up for an MLOps platform?
Azure Machine Learning — a managed cloud platform for deploying models, endpoints, and ML workflows.
What is an MLOps platform and when does a company need one?
Useful for: Organizations using Microsoft Azure.
What features matter most in an MLOps platform?
These priorities align with the MLOps lifecycle capabilities described by AWS and Microsoft Azure Machine Learning.
What is the difference between an MLOps platform and a data science platform?
The distinction is consistent with the lifecycle capabilities described by AWS, Microsoft, and Google Cloud.
Compare the leading MLOps Platforms platforms
AWS SageMaker, Azure Machine Learning, Google Vertex AI, and Databricks are strong end-to-end enterprise choices.
Is Altair RapidMiner a good MLOps platform?
How long does it take to roll out an MLOps platform?
Products & features
What Microsoft Azure Machine Learning sells
Azure Machine Learning
Cloud service that manages the ML project lifecycle, with MLOps tools to monitor, retrain and redeploy models.
Model catalog
Hub of hundreds of models from providers including Azure OpenAI, Mistral, Meta, Cohere, NVIDIA and Hugging Face.
Strengths engines cite
- Strong enterprise integration with Microsoft Azure and the broader Microsoft ecosystem
- End-to-end managed ML lifecycle management
- Strong pipeline orchestration, security, and automated model tracking
- Cost-effective managed ecosystem
- Model monitoring in production
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Jun 2026ProductSDK v1 reaches end of support
Azure Machine Learning SDK v1 reached end of support on June 30, 2026, and Microsoft recommends migrating to SDK v2.
- Jun 2026ProductDP-100 certification replaced by AI-300
The DP-100 Azure Data Scientist Associate certification retired in June 2026 and was replaced by the AI-300 MLOps Engineer Associate certification.
- Mar 2026ProductData Import and Data Connections preview features to retire
Microsoft announced that the Data Import and Data Connections preview features will retire on September 30, 2026.
Competitive landscape
How Microsoft Azure Machine Learning compares with its top three alternatives
Microsoft Azure Machine Learning most often appears alongside Amazon SageMaker AI, Google Vertex AI, MLflow in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Microsoft Azure Machine Learning | 28.4% | 6.5% | New | Pricing not available |
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 37% · Neutral 45% · Mixed 18% of 38 engine answers that mention Microsoft Azure Machine Learning
Praised for
- Strong enterprise integration with Microsoft Azure and the broader Microsoft ecosystem
- End-to-end managed ML lifecycle management
- Strong pipeline orchestration, security, and automated model tracking
- Cost-effective managed ecosystem
- Model monitoring in production
Criticised for
- Less developer-centric for teams with highly customized Python, Kubernetes, or CI/CD workflows
- Usage-based costs depend on compute, storage, and API usage
Cite as: SlateIndex, “Microsoft Azure Machine Learning AI visibility profile”, https://slateindex.ai/brand/microsoft-azure-machine-learning, data of Nov 2, 2026. Licence: CC BY 4.0.