Microsoft Azure Machine Learning
What is Microsoft Azure Machine Learning?
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
90 Likeliness to Recommend
1
Since last award
100 Plan to Renew
86 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Microsoft Azure Machine Learning?
Pros
- Performance Enhancing
- Respectful
- Reliable
- Enables Productivity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Exploration and Visualization
Model Training
Data Pre-Processing
Feature Engineering
Pre-Packaged AI/ML Services
Model Tuning
Data Labeling
Model Monitoring and Management
Ensembling
Algorithm Recommendation
Explainability
Vendor Capability Ratings
Ease of IT Administration
Quality of Features
Ease of Data Integration
Ease of Customization
Ease of Implementation
Product Strategy and Rate of Improvement
Breadth of Features
Usability and Intuitiveness
Availability and Quality of Training
Business Value Created
Vendor Support
Microsoft Azure Machine Learning Reviews
Opeyemi B.
- Role: Sales Marketing
- Industry: Education
- Involvement: Business Leader or Manager
Submitted Sep 2025
Why Businesses Are Moving to Microsoft Azure ML
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Azure ML stands out for its Microsoft ecosystem integration, strong responsible AI features, hybrid deployment flexibility, and enterprise-grade compliance making it a strong choice for organizations already invested in Microsoft or needing robust governance and scalability.
What is your favorite aspect of this product?
My favorite aspect of Microsoft Azure Machine Learning is its seamless integration with the broader Microsoft ecosystem, making it easy to connect with tools like Power BI, Dynamics 365, and Azure services. I also value its strong governance, responsible AI features, and enterprise-grade security for regulated industries.
What do you dislike most about this product?
The platform can feel overwhelming for beginners due to its complex interface and the depth of features that require technical expertise. Additionally, costs can escalate quickly when scaling models or integrating multiple Azure services.
What recommendations would you give to someone considering this product?
If you’re considering Azure ML, make sure your organization is already invested in the Microsoft ecosystem to maximize value and reduce friction. Start small with the low-code/no-code tools, then scale into advanced features as your team gains experience.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Sienna W.
- Role: Information Technology
- Industry: Machinery
- Involvement: End User of Application
Submitted Aug 2025
Fruitful Machine Learning App
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
We have managed all the learning demands through this powerful software The guidelines from this app are reputable and coherent
What is your favorite aspect of this product?
The intellectual part of this app helps us in pursuing business ideas The quality time management through automated speed is also a consideration
What do you dislike most about this product?
The objective nature of this application creates a unique opportunity
What recommendations would you give to someone considering this product?
The intellectual capacity of this application creates is remarkable
Pros
- Reliable
- Trustworthy
- Helps Innovate
- Continually Improving Product
SOMTO E.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jul 2025
Enterprise security
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning (Azure ML) stands out in the crowded ML platform space by blending enterprise-grade security with deep Microsoft ecosystem integration.
What is your favorite aspect of this product?
My favorite aspect of Azure Machine Learning is its seamless enterprise integration
What do you dislike most about this product?
UI/UX Feels Dated: The Studio interface is a maze of tabs (Experiments, Endpoints, Datastores) with slow load times.
What recommendations would you give to someone considering this product?
Only Choose AML If You: Run on Azure Already: Tight integration with Power BI, Synapse, and Office 365 is AML’s superpower. Need Hybrid/On-Prem ML: Unique strength via Azure Arc (SageMaker/Vertex can’t do this). Prioritize Compliance: HIPAA/GDPR-ready out of the box (ideal for healthcare/finance).
Pros
- Helps Innovate
- Performance Enhancing
- Unique Features
- Efficient Service
