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.
89 Likeliness to Recommend
1
Since last award
96 Plan to Renew
4
Since last award
84 Satisfaction of Cost Relative to Value
2
Since last award
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.
+95 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
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Feature Ratings
Model Training
Data Exploration and Visualization
Pre-Packaged AI/ML Services
Data Pre-Processing
Model Tuning
Feature Engineering
Model Monitoring and Management
Algorithm Recommendation
Data Labeling
Data Ingestion
Ensembling
Vendor Capability Ratings
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Quality of Features
Breadth of Features
Usability and Intuitiveness
Availability and Quality of Training
Ease of Implementation
Business Value Created
Vendor Support
Microsoft Azure Machine Learning Reviews
Ramy s.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted Feb 2024
User-friendly Machine Learning Service.
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Azure Machine Learning integrates seamlessly with the Azure ecosystem tools and services. It provides a user-friendly drag-and-drop visual designer that helps average users develop and run advanced models within a low-code environment with minimal coding experience.
What is your favorite aspect of this product?
Azure ML is easy to use, has automatic model retraining capabilities, supports various programming languages/frameworks, and integrates with commonly used open-source data science and machine learning libraries.
What do you dislike most about this product?
While Azure Machine Learning is an easy-to-use service, it usually gets more complex as the project requires more customizations and more experienced AI, data, and Azure Cloud professionals to customize and optimize the Machine Learning workload on Azure.
What recommendations would you give to someone considering this product?
I would recommend spending enough time learning about Azure ML features, limitations, and cost and also a high-level overview of Azure Cloud service through the Azure architecture center and the official service documentation.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Vishal R.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Jan 2026
Simple and Powerful
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
Microsoft Azure Machine Learning is the great tool even for the beginners, i used it in my last project where I managed the data, train models, and launch them at one place without any hassle. The best thing is it works perfectly with other Azure tools. Also, it includes multiple unique features for beginner and advance users.
What is your favorite aspect of this product?
My favorite aspect of this product is the console which is very easy to understand and execute multiple features.
What do you dislike most about this product?
I have not encountered any difficulties till now, i like the product more.
What recommendations would you give to someone considering this product?
If you are a small team who wants to build, train and launch the models at one place, i strongly suggest you to go for it.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Efficient Service
HEMANT D.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Why to use
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
It is easy to use and its integration is top notch
What is your favorite aspect of this product?
AutoML and algorithm design
What do you dislike most about this product?
As of now i am not aware of anything
What recommendations would you give to someone considering this product?
Best for machine learning Engineers
Pros
- Continually Improving Product
- Trustworthy
- Saves Time
- Respectful
Cons
- Less Efficient Service
