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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
4th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (4th)
OpenVINO
Ranking in AI Development Platforms
12th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 5.8%, down from 11.8% compared to the previous year. The mindshare of OpenVINO is 1.7%, down from 2.3% 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…
Mahender Reddy Pokala - PeerSpot reviewer
Improved model deployment on edge devices, but compatibility and scalability present challenges
I found OpenVINO ( /products/openvino-reviews )'s ability to convert custom models into its format particularly beneficial, as businesses sometimes require unique models specific to their use cases. Utilizing OpenVINO allowed me to run these custom models on devices directly, which I found quite impressive. Additionally, the Model Zoo offered by OpenVINO added value to the product.

Quotes from Members

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

Pros

"The visualizations are great. It makes it very easy to understand which model is working and why."
"The integration with Azure services enhances workflow and meets my expectations."
"The most valuable feature of Azure Machine Learning Studio for me is its convenience. I can quickly start using it without setting up the environment or buying a lot of devices."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse."
"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."
"The solution facilitates our production."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"Intel's support team is very good."
"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 inferencing and processing capabilities are quite beneficial for our requirements."
"The initial setup is quite simple."
 

Cons

"They should have a desktop version to work on the platform."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"Using the solution requires some specific learning which can take some time."
"The data preparation capabilities need to be improved."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"The speed of deployment should be faster, as should testing."
"In terms of improvement, I'd like to have more ability to construct and understand the detailed impact of the variables on the model. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" it wasn't great."
"Microsoft should also include more examples and tutorials for using this product.​"
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"The model optimization is a little bit slow — it could be improved."
"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."
"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."
 

Pricing and Cost Advice

"There is a license required for this solution."
"ML Studio's pricing becomes a numbers game."
"The product is not that expensive."
"There is a lack of certainty with the solution's pricing."
"From a developer's perspective, I find the price of this solution high."
"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."
"The licensing cost is very cheap. It's less than $50 a month."
"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."
"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%
Computer Software Company
10%
Manufacturing Company
10%
Healthcare Company
6%
Manufacturing Company
39%
Financial Services Firm
7%
University
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 is your experience regarding pricing and costs for OpenVINO?
The OpenVINO software itself is open source and not priced. However, I found edge devices, such as cameras, can be somewhat expensive, around $150.
What needs improvement with OpenVINO?
One improvement could be making OpenVINO less dependent on Intel-based processing chips. Expanding cross-platform compatibility, allowing it to work beyond Intel and its edge devices, would be bene...
What is your primary use case for OpenVINO?
I used OpenVINO ( /products/openvino-reviews ) for almost three years, starting in 2020. My initial use case involved attempting to connect or run models using quantization within cameras as edge d...
 

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: June 2025.
862,452 professionals have used our research since 2012.