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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
6th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (9th)
PyTorch
Ranking in AI Development Platforms
12th
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 September 2026, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 3.1%, down from 4.8% compared to the previous year. The mindshare of PyTorch is 2.1%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.1%
PyTorch2.1%
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

"Azure Machine Learning Studio's most valuable features are the package from Azure AutoML, which is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon, and it has the most sophisticated set of categories of parameters with good data encodings, options, and the most detailed settings for specific models."
"The solution is very easy to use, so far as our data scientists are concerned."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics."
"As long as the model is not too complex, it's a pretty easy solution to roll out."
"Machine Learning Studio is easy to use."
"The drag-and-drop interface is good."
"PyTorch is developer-friendly, allowing developers to continuously create new projects."
"We are a data science team that trains mathematical models with this solution, which can spin up VMs that you can use remotely or on your local machines."
"The product's initial setup phase is easy."
"The framework of the solution is valuable."
"PyTorch allows me to build my projects from scratch."
"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."
"We use PyTorch libraries, which are working well. It's very easy."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
 

Cons

"It would be nice if the product offered more accessibility in general."
"I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."
"There should be data access security, a role level security. Right now, they don't offer this."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"The stability of Microsoft Azure Machine Learning Studio could improve. The solution is good for test development but it is not good for production environments."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"For data science professionals or programmers I would rate this solution a four out of 10."
"They should have a desktop version to work on the platform."
"PyTorch could make certain things more obvious. Even though it does make things like defining loss functions and calculating gradients in backward propagation clear, these concepts may confuse beginners. We find that it's kind of problematic. Despite having methods called on loss functions during backward passes, the oral documentation for beginners is quite complex."
"The product has breakdowns when we change the versions a lot."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"The analyzing and latency of compiling could be improved to provide enhanced results."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"The product has certain shortcomings in the automation of machine learning."
"I would like to see better learning documents."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
 

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."
"In terms of pricing, for any cloud solution, you should know the tricks of the trade and how to use it, otherwise, you'll end up paying a lot of money irrespective of the cloud provider, so at least for Microsoft Azure Machine Learning Studio pricing versus AWS, I would rate it three out of five, with one being the most expensive, and five being the cheapest. It could be cheaper, but you also have to be careful when choosing the plans, for example, consider the architecture and a lot of other factors before choosing your plan, if you don't want to end up paying more. If your cloud provider has an optimizer that seems to be available in every provider, that would keep alerting you in terms of resources not being used as much, then that would help you with budgeting."
"The product is not that expensive."
"There isn’t any such expensive costs and only a standard license is required."
"The product's pricing is reasonable."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"There is a lack of certainty with the solution's pricing."
"My team didn't deal with the licensing for Microsoft Azure Machine Learning Studio, so I'm unable to comment on pricing, but the money that was spent on the tool was worth it."
"PyTorch is an open-source solution."
"PyTorch is open source."
"PyTorch is open-sourced."
"The solution is affordable."
"It is free."
"It is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Outsourcing Company
12%
Performing Arts
7%
Construction Company
7%
Manufacturing Company
13%
University
12%
Comms Service Provider
10%
Financial Services Firm
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.
913,806 professionals have used our research since 2012.