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Microsoft Azure Machine Learning Studio vs PyTorch comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Azure Machine Lea...
Ranking in AI Development Platforms
3rd
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
Data Science Platforms (4th)
PyTorch
Ranking in AI Development Platforms
7th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 7.3%, down from 13.7% compared to the previous year. The mindshare of PyTorch is 1.4%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…
Rohan Sharma - PeerSpot reviewer
Enabled creation of innovative projects through developer-friendly features
The aspect I like most about PyTorch is that it is really developer-friendly. Developers can constantly create new things, and everyone around the world can use it for free because it's an open-source product. What I personally like is that PyTorch has enabled users to use Apple's M1 chip natively for GPU users. Unlike other libraries using CUDA, PyTorch utilizes Metal Performance Shaders (MPS) to enable GPU usage on M1 chips.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Machine Learning Studio is easy to use."
"The most valuable feature is data normalization."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The solution is very fast and simple for a data science solution."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"The solution is really scalable."
"Azure's AutoML feature is probably better than the competition."
"The notebook feature allows you to write inquiries and create dashboards. These dashboards can integrate with multiple databases, such as Excel, HANA, or SQL Server."
"I like PyTorch's scalability."
"It’s reliable, secure and user-friendly. It allows you to develop any AIML project efficiently. PySearch is the best option for developing any project in the AIML domain. The product is easy to install."
"Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful."
"I like that PyTorch actually follows the pythonic way, and I feel that it's quite easy. It's easy to find compared to others who require us to type a long paragraph of code."
"PyTorch is developer-friendly, allowing developers to continuously create new projects."
"PyTorch is developer-friendly, allowing developers to continuously create new projects."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"We use PyTorch libraries, which are working well. It's very easy."
 

Cons

"When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"​It could use to add some more features in data transformation, time series and the text analytics section."
"The platform's integration feature could be better."
"The interface is a bit overloaded."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"Easier customization and configuration would be beneficial."
"The price of the solution has room for improvement."
"PyTorch needs improvement in working on ARM-based chips. They have unified memory for GPU and RAM, however, current GPUs used for processing are slow."
"PyTorch needs improvement in working on ARM-based chips. They have unified memory for GPU and RAM, however, current GPUs used for processing are slow."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"I do not have any complaints."
"The product has certain shortcomings in the automation of machine learning."
"On the production side of things, having more frameworks would be helpful."
"I would like a model to be available. I think Google recently released a new version of EfficientNet. It's a really good classifier, and a PyTorch implementation would be nice."
 

Pricing and Cost Advice

"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"There is a lack of certainty with the solution's pricing."
"The platform's price is low."
"ML Studio's pricing becomes a numbers game."
"There is a license required for this solution."
"The solution cost is high."
"We pay only the Azure costs for what we use, which involves some subscription costs. But essentially, you pay for what you use. There are no extra costs in addition to the standard licensing fees."
"I rate the product price as a nine on a scale of one to ten, where ten means it is very expensive."
"It is free."
"PyTorch is open source."
"PyTorch is open-sourced."
"It is free."
"PyTorch is an open-source solution."
"The solution is affordable."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
Manufacturing Company
32%
Computer Software Company
9%
Financial Services Firm
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
What is your experience regarding pricing and costs for PyTorch?
I haven't gone for a paid plan yet. I've just been using the free trial or open-source version.
What needs improvement with PyTorch?
PyTorch needs improvement in working on ARM-based chips. Although they have unified memory for GPU and RAM, they are unable to utilize these GPUs for processing efficiently. They take so much time....
 

Also Known As

Azure Machine Learning, MS Azure Machine Learning Studio
No data available
 

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
Information Not Available
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. PyTorch and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.