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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 enables quick data preparation and data processing pipeline as well as modeling work and it's all part of Azure Machine Learning."
"Auto email and studio are great features."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"ML Studio is very easy to maintain."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The solution is scalable."
"The solution's most beneficial feature is its integration with Azure."
"If you want to build a solution quickly without knowing any coding, it's pretty good to start with."
"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."
"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. It can work almost with all the models."
"The initial setup is quite simple."
"Compared to Jetson Nano or Jetson TX2, or Jetson Xavier, OpenVINO is a much more cost-effective solution."
 

Cons

"The data cleaning functionality is something that could be better and needs to be improved."
"I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated."
"They should have a desktop version to work on the platform."
"The solution's initial setup process is complicated."
"A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer."
"I would like to see better prediction and analysis."
"I would like to see modules to handle Deep Learning frameworks."
"​It could use to add some more features in data transformation, time series and the text analytics section."
"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."
"Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively."
"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."
"I couldn't get it to run on my Raspberry Pi 4 because the software packages to download were no longer available."
"It would be great if OpenVINO could convert new models into its format more quickly."
"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

"The solution cost is high."
"The product is not that expensive."
"The platform's price is low."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"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."
"From a developer's perspective, I find the price of this solution high."
"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."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"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.
887,041 professionals have used our research since 2012.