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Microsoft Azure Machine Learning Studio vs OpenVINO 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
5th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (6th)
OpenVINO
Ranking in AI Development Platforms
15th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 3.4%, down from 7.3% compared to the previous year. The mindshare of OpenVINO is 1.8%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.4%
OpenVINO1.8%
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.
JH
Senior Data Scientist /Ai Engineer at Zantaz Data Resources
Empowers cost-effective model deployment on widely accessible hardware while needing cross-platform enhancements
What could be improved in OpenVINO is making the product more cross-platform. I know they are working with third-party plugins to extend the toolkit, and in this way, I can use it with NVIDIA GPUs or with other hardware because now it's primarily working in all Intel hardware. CPU, GPUs, TPUs, but only from Intel. If they make more cross-platform functionality, it would be great. It's difficult to make it work faster than the NVIDIA toolkit in their own GPUs. At least having the possibility and making it work faster than now in other hardware that is not from Intel provided would be beneficial.

Quotes from Members

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

Pros

"The product's standout feature is a robust multi-file network with limited availability."
"The initial setup is very simple and straightforward."
"The platform as a service provides user-friendly instruments, making the experience easy."
"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."
"Auto email and studio are great features."
"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"For the best, reliable results, it is the best solution to have in mind."
"The solution is very easy to use, so far as our data scientists are concerned."
"One positive aspect about OpenVINO is that it supports more frameworks than the Google Coral TPU."
"The initial setup is quite simple."
"Compared to Jetson Nano or Jetson TX2, or Jetson Xavier, OpenVINO is a much more cost-effective solution."
"The solution's ability to stream data directly from camera inputs is the most valuable aspect for us."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The runtime of OpenVINO is highly valuable for running different computer vision models."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice, and it can work almost with all the models."
"Intel's support team is very good."
 

Cons

"In the Machine Learning Studio, particularly the Designer part, which is essentially Azure's demo designer, there is room for improvement. Many customers and users tend to switch to Microsoft Azure Multi-Joiners, which is a more basic version, but they do so internally. One area that could use enhancement is the process of connecting components. Currently, every time you want to connect a component, such as linking it to your storage or an instance like EC2, you have to input your username and password repeatedly. This can be quite cumbersome. Google, for instance, has made it more user-friendly by allowing easy access for connecting services within a workspace. In a workspace, you can set up various resources like storage, a database cluster, machine learning studio, and more. When connecting these services, there's no need to enter your username and password each time, making it a more efficient process. Another aspect to consider is the role of the designer, and they were to integrate a large language model to handle various tasks, it could significantly enhance the overall scalability and usability of the platform."
"The high price of the product is an area of concern where improvements are required."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"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."
"The data cleaning functionality is something that could be better and needs to be improved."
"Operability with R could be improved."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"They should have a desktop version to work on the platform."
"It would be great if OpenVINO could convert new models into its format more quickly."
"Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively."
"The model optimization is a little bit slow — it could be improved."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"The model optimization is a little bit slow — it could be improved."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"I think that it's not properly designed for scalability. It's designed for other purposes, specifically to be able to use Intel hardware and run inference using generative models or deep learning models in Intel hardware."
 

Pricing and Cost Advice

"It is less expensive than one of its competitors."
"There is a lack of certainty with the solution's pricing."
"The platform's price is low."
"The product's pricing is reasonable."
"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."
"ML Studio's pricing becomes a numbers game."
"I rate the product price as a nine on a scale of one to ten, where ten means it is very expensive."
"There is a license required for this solution."
"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
8%
Performing Arts
7%
Computer Software Company
7%
Manufacturing Company
29%
Financial Services Firm
11%
Comms Service Provider
9%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise6
Large Enterprise30
No data available
 

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?
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 OpenVINO?
I have heard good things about OpenVINO. It doesn't consume much current for external GPU usage. However, it has some downsides because I couldn't get it to run on my Raspberry Pi 4. While not spec...
What is your primary use case for OpenVINO?
I wanted to use OpenVINO for my Raspberry Pi to analyze my sleep with a night vision camera and to improve GPU performance on my Raspberry Pi. I would have used OpenVINO's Model Optimizer feature t...
 

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. OpenVINO and other solutions. Updated: April 2026.
886,976 professionals have used our research since 2012.