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IBM Watson Machine Learning vs Microsoft Azure Machine Learning Studio comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Watson Machine Learning
Ranking in AI Development Platforms
11th
Average Rating
8.0
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Microsoft Azure Machine Lea...
Ranking in AI Development Platforms
2nd
Average Rating
7.8
Number of Reviews
57
Ranking in other categories
Data Science Platforms (3rd)
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of IBM Watson Machine Learning is 2.6%, up from 2.6% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 12.1%, down from 17.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anurag Mayank - PeerSpot reviewer
Mar 16, 2023
A highly efficient solution that delivers the desired results to its users
We started to use the solution for POCs in our organization. So, we are not in a state where we use its services at a full-fledged level. Additionally, we use it to solve our queries and understand whether it is actually helping us solve our problems. Basically, this is how we have been using the…
Klaus Lozie - PeerSpot reviewer
Apr 22, 2024
Provides good integration and used for data labeling
We use Microsoft Azure Machine Learning Studio to train our models and for data labeling The solution's most beneficial feature is its integration with Azure. We are an Azure-based company, and the solution's integration feature allows us to log in through Cosmos DB or Application Insights.…

Quotes from Members

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

Pros

"It is has a lot of good features and we find the image classification very useful."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"Scalability-wise, I rate the solution ten out of ten."
"The most valuable aspect of the solution's the cost and human labor savings."
"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."
"It has improved self-service and customer satisfaction."
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"Visualisation, and the possibility of sharing functions are key features."
"It's easy to deploy."
"It's easy to use."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"The interface is very intuitive."
"​It has helped in reducing the time involved for coding using R and/or Python."
"The solution is really scalable."
 

Cons

"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."
"The supporting language is limited."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"Sometimes training the model is difficult."
"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"In future releases, I would like to see a more flexible environment."
"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."
"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."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"There should be data access security, a role level security. Right now, they don't offer this."
"It would be nice if the product offered more accessibility in general."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"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."
"Integration with social media would be a valuable enhancement."
 

Pricing and Cost Advice

"I've only been using the free tier, but it's quite competitive on a service basis."
"The pricing model is good."
"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."
"ML Studio's pricing becomes a numbers game."
"There isn’t any such expensive costs and only a standard license is required."
"The licensing cost is very cheap. It's less than $50 a month."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"The product is not that expensive."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"There is a license required for this solution."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
University
14%
Educational Organization
12%
Financial Services Firm
12%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM Watson Machine Learning?
I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.
What needs improvement with IBM Watson Machine Learning?
Sometimes training the model is difficult. We need to have at least a few different components to evaluate and understand the behavior of different users to have a very, very high accuracy in the m...
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.
 

Also Known As

No data available
Azure Machine Learning, MS Azure Machine Learning Studio
 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about IBM Watson Machine Learning vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.