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Microsoft Azure Machine Learning Studio vs PyTorch comparison

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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
7th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (8th)
PyTorch
Ranking in AI Development Platforms
11th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 3.2%, down from 4.2% compared to the previous year. The mindshare of PyTorch is 2.0%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.2%
PyTorch2.0%
Other94.8%
AI Development Platforms
 

Featured Reviews

reviewer2722962 - PeerSpot reviewer
Data Scientist
Platform accelerates model development, enhances collaboration, and offers efficient deployment
The best features Microsoft Azure Machine Learning Studio offers include deep integration with Python notebooks and Azure Data Lake, which allows me to import external data, and through the pipeline, I can build my models, performing what is called data injection for my model building, making that deep integration quite interesting to use. Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding. Microsoft Azure Machine Learning Studio has positively impacted my organization by reducing our project delivery times and increasing the pace at which we work, allowing us to focus on other more important tasks. Using Microsoft Azure Machine Learning Studio has reduced our model development time from approximately four hours to about two hours.
Rohan Sharma - PeerSpot reviewer
AI/ML Co-Lead at Developer Student Clubs - GGV
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, with a significant feature being the drag and drop interface that enhances workflow without any complaints."
"The solution is very fast and simple for a data science solution."
"The solution is very easy to use, so far as our data scientists are concerned."
"It's a great option if you are fairly new and don't want to write too much code."
"I've developed a couple of chatbots using Azure OpenAI, leveraging its documented solutions and APIs. The tools available make it straightforward to implement machine learning solutions. However, there are challenges, such as hallucinations and security issues, but overall, it works well and is quite fast, allowing for the development of interesting projects."
"It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"yTorch is gaining credibility in the research space, it's becoming easier to find examples of papers that use PyTorch. This is an advantage for someone who uses PyTorch primarily."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"It's been pretty scalable in terms of using multiple GPUs."
"PyTorch is developer-friendly, allowing developers to continuously create new projects."
"Its interface is the most valuable, and 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."
"PyTorch allows me to build my projects from scratch."
"We use PyTorch libraries, which are working well. It's very easy."
"The product's initial setup phase is easy."
 

Cons

"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"They should have a desktop version to work on the platform."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"Improvement in integration is crucial, and it'll be interesting to see how it develops, especially with SAP's move towards cloud-based solutions like SAP Rise and its collaboration with hyper scalers like AWS. Integrating SAP with hyperscaler machine learning solutions could simplify operations, although SAP's environment is complex. SAP has initiated deals with AWS for this purpose, but I'm not as familiar with Microsoft Azure Machine Learning Studio's involvement."
"The high price of the product is an area of concern where improvements are required."
"One problem I experience is that switching between multiple accounts can be difficult. I don't think there are any major issues. Mostly, the biggest challenge is to identify business solutions to this. The tool should keep on updating new algorithms and not stay static."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"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."
"I do not have any complaints."
"On the production side of things, having more frameworks would be helpful."
"The training of the models could be faster."
"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."
"I would like to see better learning documents."
 

Pricing and Cost Advice

"The solution cost is high."
"It is less expensive than one of its competitors."
"When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly."
"I rate the solution's pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"From a developer's perspective, I find the price of this solution high."
"There is a lack of certainty with the solution's pricing."
"I used the free student license for a few months to operate the solution, but I'll have to pay for it if I want to do more now."
"It is free."
"PyTorch is open-sourced."
"PyTorch is open source."
"PyTorch is an open-source solution."
"The solution is affordable."
"It is free."
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Top Industries

By visitors reading reviews
Outsourcing Company
13%
Financial Services Firm
12%
Performing Arts
7%
Construction Company
7%
Manufacturing Company
13%
Financial Services Firm
12%
University
11%
Comms Service Provider
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise6
Large Enterprise32
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise6
 

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 is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go, meaning it won't cost excessively unless specific resources are used.
What needs improvement with Microsoft Azure Machine Learning Studio?
The initial setup can be a bit challenging for someone new, as the learning curve can be steep, but once I master the platform, I find it quite manageable. I would love to see the integration of a ...
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?
There are a few areas for improvement. The biggest one for me is version and dependency management, as I have to ensure my Torch, TorchAudio, and CUDA versions are all aligned. If one is off, thing...
What is your primary use case for PyTorch?
I have been using PyTorch for the last three years, mostly through my thesis work and model deployment projects. I use PyTorch for pretty much everything in my deep learning work, specifically to b...
 

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: September 2026.
920,769 professionals have used our research since 2012.