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IBM Watson Machine Learning vs Microsoft Azure Machine Learning Studio 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

IBM Watson Machine Learning
Ranking in AI Development Platforms
13th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Microsoft Azure Machine Lea...
Ranking in AI Development Platforms
3rd
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
Data Science Platforms (4th)
 

Mindshare comparison

As of April 2025, in the AI Development Platforms category, the mindshare of IBM Watson Machine Learning is 1.8%, down from 2.4% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 7.3%, down from 13.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anurag Mayank - PeerSpot reviewer
A highly efficient solution that delivers the desired results to its users
I had not considered how the solution could be improved because I was focused on how it was helping me to solve my issues. 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. It would be beneficial to incorporate more AI into the solution.
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…

Quotes from Members

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

Pros

"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"It has improved self-service and customer satisfaction."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"It is has a lot of good features and we find the image classification very useful."
"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."
"Scalability-wise, I rate the solution ten out of ten."
"The solution is really scalable."
"The platform as a service provides user-friendly instruments, making the experience easy."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"The product supports open-source tools."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"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."
"It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component."
"Azure Machine Learning Studio provides a platform to integrate with large language models."
 

Cons

"In future releases, I would like to see a more flexible environment."
"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."
"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."
"Sometimes training the model is difficult."
"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."
"The solution's initial setup process is complicated."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"I rate the support from Microsoft as five out of ten. It could be improved."
"The product must improve its documentation."
"The solution must increase the amount of data sources that can be integrated."
"Integration with social media would be a valuable enhancement."
"​It could use to add some more features in data transformation, time series and the text analytics section."
 

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."
"The platform's price is low."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"There isn’t any such expensive costs and only a standard license is required."
"To use MLS is fairly cheap. Even the paid account is something like $20/month, unless you are provisioning large numbers of VMs for a Hadoop cluster. The main MS makes money with this solution is forcing the user to deploy their model on REST API, and being charged each time the API is accessed. There are several pricing tiers for the API. If you do not use the API, then value of MLS is to create rapid experiments ($20/month). The resulting model is not exportable to use, thus you’ll have to recreate the algorithms in either R or Python, which is what I did. MLS results gave me a direction to work with, the actual work is mostly done in R and Python outside of MLS."
"Last year, we paid 60,000 for Microsoft Azure Machine Learning Studio in our department."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"From a developer's perspective, I find the price of this solution high."
"The pricing for Microsoft products can be complex due to changes and being cloud-based, so it's not straightforward. I've been familiar with it for years, but sometimes details about product licenses and distribution can be unclear. For Microsoft Azure Machine Learning Studio specifically, I would rate the price a six out of ten."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
11%
Educational Organization
11%
University
10%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
6%
 

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.
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.
 

Also Known As

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

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: March 2025.
848,253 professionals have used our research since 2012.