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
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceMicrosoft Azure Machine Learning Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on Microsoft Azure Machine Learning.
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
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
1
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.
+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
- Enables Productivity
- Reliable
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
Data Pre-Processing
Model Training
Pre-Packaged AI/ML Services
Feature Engineering
Model Tuning
Model Monitoring and Management
Data Labeling
Algorithm Recommendation
Ensembling
Data Ingestion
Vendor Capability Ratings
Ease of Data Integration
Ease of IT Administration
Quality of Features
Ease of Implementation
Ease of Customization
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
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
Amanda D.
- Role: Operations
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2024
Can’t go wrong with MS
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
More creative elements
What is your favorite aspect of this product?
Love the ease of editing
What do you dislike most about this product?
Publishing is sometimes difficukt
What recommendations would you give to someone considering this product?
MS is a reliable Brand
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Efficient Service
Alisha M.
- Role: Information Technology
- Industry: Consulting
- Involvement: Business Leader or Manager
Submitted Nov 2025
Comprehensive ML Tools with Strong Cloud Support
Likeliness to Recommend
What differentiates Microsoft Azure Machine Learning from other similar products?
MS Azure Machine Learning stands out because it lets you build, train, and deploy machine learning models all in one platform. It works well with other Microsoft tools, supports both beginners and experts, and offers cloud-based scalability, automation, and easy collaboration across teams.
What is your favorite aspect of this product?
My favorite thing about Azure Machine Learning is how it makes building and deploying machine learning models easier. It supports both beginners and experts, integrates well with other Microsoft tools, and lets teams collaborate smoothly on data and models in one platform.
What do you dislike most about this product?
The thing I dislike most about Azure Machine Learning is that it can be complicated for beginners. Setting up models, managing resources, and understanding all the features can take time and technical knowledge.
What recommendations would you give to someone considering this product?
If you are using Azure Machine Learning, make sure your team knows machine learning and cloud basics. Start with a small test project to see how it works, plan how to monitor and manage models, use built-in automation to save time, and set clear rules for data access, model ownership, and costs.
Pros
- Reliable
- Efficient Service
- Inspires Innovation
- Caring
