Try our new research platform with insights from 80,000+ expert users

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
3rd
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
60
Ranking in other categories
Data Science Platforms (4th)
OpenVINO
Ranking in AI Development Platforms
14th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 8.0%, down from 15.3% compared to the previous year. The mindshare of OpenVINO is 1.6%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

HéctorGiorgiutti - PeerSpot reviewer
Requires minimal maintenance, is scalable, and stable
The initial setup depends on the developer's knowledge of machine learning models as to whether it is easy or difficult. With a good understanding of these models, then we can get to work quickly in the environment. With 20 years of experience in IT, making applications on legacy platforms and non-web platforms, I have found that Azure has a very good implementation. The platform is so comprehensive that it doesn't matter what kind of work we do, we can find the tools needed to get the job done. In comparison to what I was doing five years ago, Azure is a great platform and I really enjoy working with it. We should allocate up to 12 percent of our project time to deployment. Depending on the complexity of the solution, we should expect to spend more time on deployment.
reviewer1530384 - PeerSpot reviewer
Open-source, easy to integrate, and perfectly tailored to the Movidius chipset
Generally, when you deploy edge products, it's really about latency. It's about getting that camera input, being able to process it, extracting the information you need, and getting the solution back to the person who made the request. Although I'm not necessarily saying its latency or accuracy is bad, it's always something that can be improved upon. By focusing on improving these areas, they can make the overall solution even better. At this point, the product could probably just use a greater integration with more machine learning model tools. However, that's not advice from experience per se. That's always just helpful in general. To be able to incorporate more models into the product makes it stronger. Therefore, to be clear, it's not coming from a point of a current deficiency. It's just a general comment.

Quotes from Members

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

Pros

"The UI is very user-friendly and that AI is easy to use."
"Auto email and studio are great features."
"Machine Learning Studio is easy to use."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"The solution is very fast and simple for a data science solution."
"The product's initial setup phase is easy."
"The interface is very intuitive."
"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 inferencing and processing capabilities are quite beneficial for our requirements."
"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."
 

Cons

"The solution's initial setup process is complicated."
"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."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"Overall, the icons in the solution could be improved to provide better guidance to users. Additionally, the setup process for the solution could be made easier."
"Microsoft should also include more examples and tutorials for using this product.​"
"I would like to see modules to handle Deep Learning frameworks."
"There should be data access security, a role level security. Right now, they don't offer this."
"The speed of deployment should be faster, as should testing."
"The model optimization is a little bit slow — it could be improved."
"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."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
 

Pricing and Cost Advice

"The platform's price is low."
"The solution cost is high."
"There is a license required for this solution."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"There isn’t any such expensive costs and only a standard license is required."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"The solution operates on a pay-per-use model."
"From a developer's perspective, I find the price of this solution high."
"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
832,138 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Healthcare Company
7%
Manufacturing Company
46%
University
8%
Computer Software Company
7%
Financial Services Firm
5%
 

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?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
Ask a question
Earn 20 points
 

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: January 2025.
832,138 professionals have used our research since 2012.