About
Automated machine learning (AutoML) is a capability within Azure Machine Learning that enables users to quickly build machine learning models at scale. Users can create models with no-code UI and SDKs, or customize models for more control. The platform automates tasks such as finding the best classification model, applies automated featurization techniques for data exploration and preprocessing, and supports building natural language processing and computer vision models. AutoML includes a responsible AI dashboard for making informed, data-driven decisions and assessing model performance. It supports forecasting, object detection, and natural language processing tasks, and offers interoperability with Power BI for building ML models.
Read from azure.microsoft.com on 2026-08-26. We describe what the vendor states; we do not audit it.
Enterprise Readiness
from cataloged dataNo compliance certifications listed
Flexible deployment: Cloud, Hybrid
8 documented integrations
6 documented use cases
Company maturity not disclosed
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How Automated machine learning (AutoML) compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Automated machine learning (AutoML) | 50 · Established | Paid | Cloud, Hybrid | — | 8 |
| Celonis Process Intelligence | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| Dataiku DSS | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| DataBricks AutoML | 68 · Strong | Enterprise | Cloud, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Automated machine learning (AutoML) used for?
Automated machine learning (AutoML) is autoML capability in Azure Machine Learning to automate tasks and build ML models at scale. It is commonly used for customer churn prediction, demand forecasting, fraud detection, and predictive maintenance.
Is Automated machine learning (AutoML) free, and how is it priced?
Automated machine learning (AutoML) is a paid product. Pricing is set by the vendor — check the official site for current plans.
How can Automated machine learning (AutoML) be deployed?
Automated machine learning (AutoML) supports Cloud and Hybrid deployment. It is delivered as a cloud-hosted service.
What does Automated machine learning (AutoML) integrate with?
Automated machine learning (AutoML) documents 8 integrations, including Azure Data Factory, Azure Synapse Analytics, Power BI, Azure DevOps, Azure Databricks, and Azure Blob Storage.
Is Automated machine learning (AutoML) enterprise-ready?
Based on cataloged data, Automated machine learning (AutoML) has an Enterprise Readiness score of 50/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
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Alternatives to Automated machine learning (AutoML)
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