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Microsoft Azure Machine Learning Studio vs RapidMiner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 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 Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
60
Ranking in other categories
AI Development Platforms (3rd)
RapidMiner
Ranking in Data Science Platforms
6th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
22
Ranking in other categories
Predictive Analytics (3rd)
 

Mindshare comparison

As of January 2025, in the Data Science Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 5.7%, down from 10.9% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science 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.
Rathnam Makam - PeerSpot reviewer
A no-code tool that helps to build machine learning models
One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

Quotes from Members

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

Pros

"The drag-and-drop interface is good."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"The most valuable feature is data normalization."
"Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The platform as a service provides user-friendly instruments, making the experience easy."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"The most valuable features are the Binary classification and Auto Model."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The best part of RapidMiner is efficiency."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"
 

Cons

"The solution should be more customizable. There should be more algorithms."
"It would be nice if the product offered more accessibility in general."
"They should have a desktop version to work on the platform."
"​It could use to add some more features in data transformation, time series and the text analytics section."
"The pricing policy should be improved."
"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."
"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."
"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."
"I would like to see more integration capabilities."
"The product must provide data-cleaning features."
"The price of this solution should be improved."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"If they could include video tutorials, people would find that quite helpful."
"Improve the online data services."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
 

Pricing and Cost Advice

"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"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."
"I used the free student license for a few months to operate the solution, but I'll have to pay for it if I want to do more now."
"From a developer's perspective, I find the price of this solution high."
"I rate the solution's pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."
"Last year, we paid 60,000 for Microsoft Azure Machine Learning Studio in our department."
"I used an educational license for this solution, which is available free of charge."
"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."
"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."
"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
"For the university, the cost of the solution is free for the students and teachers."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
7%
University
12%
Computer Software Company
10%
Financial Services Firm
10%
Educational Organization
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
What do you like most about RapidMiner?
RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...
What is your experience regarding pricing and costs for RapidMiner?
I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment.
What needs improvement with RapidMiner?
The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.
 

Also Known As

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

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. RapidMiner and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.