Microsoft Azure Machine Learning Studio vs RapidMiner comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
2nd
Average Rating
7.6
Number of Reviews
56
Ranking in other categories
AI Development Platforms (1st)
RapidMiner
Ranking in Data Science Platforms
6th
Average Rating
8.6
Number of Reviews
22
Ranking in other categories
Predictive Analytics (3rd)
 

Mindshare comparison

As of June 2024, in the Data Science Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 6.2%, down from 10.4% compared to the previous year. The mindshare of RapidMiner is 8.3%, up from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
Unique Categories:
AI Development Platforms
16.5%
Predictive Analytics
20.0%
 

Featured Reviews

Marta Frąckowiak - PeerSpot reviewer
Apr 20, 2023
A stable solution that provides a comprehensive and helpful documentation to its users
The initial setup for me was initially quite complex, but after completing a course related to Microsoft Azure Machine Learning Studio, it became less complex. However, one needs to have a good understanding of the required parameters and what the model needs to do in order to achieve good performance. So sometimes, it's not that simple. The deployment process took me a couple of hours to complete. I was able to do it quickly because I was using Azure Machine Learning Designer and Python SDK while also learning automation. The setup process for AltaML was easy and could be completed in hours. With Python SDK, the setup process was quite long because of the code that needed to be written, so one needs to know what to write.
AA
Aug 30, 2023
Easy to use and has a huge community
RapidMiner interacts well with data. It is valuable, easy to use, and easy to look at, and that is awesome.  It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive.  In terms of the UI and SaaS, the user interface with KNIME is more appealing than…

Quotes from Members

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

Pros

"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."
"The most valuable feature is its compatibility with Tensorflow."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The product's standout feature is a robust multi-file network with limited availability."
"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."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"ML Studio is very easy to maintain."
"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."
"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."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."
"The solution is very intuitive and powerful."
"The data science, collaboration, and IDN are very, very strong."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
 

Cons

"There should be data access security, a role level security. Right now, they don't offer this."
"Operability with R could be improved."
"Using the solution requires some specific learning which can take some time."
"The data cleaning functionality is something that could be better and needs to be improved."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"The price of the solution has room for improvement."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"Improve the online data services."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"RapidMiner can improve deep learning by enhancing the features."
"The price of this solution should be improved."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"The product must provide data-cleaning features."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."
 

Pricing and Cost Advice

"It is less expensive than one of its competitors."
"The licensing cost is very cheap. It's less than $50 a month."
"The solution operates on a pay-per-use model."
"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."
"The product is not that expensive."
"There is a license required for this solution."
"The platform's price is low."
"I rate the product price as a nine on a scale of one to ten, where ten means it is very expensive."
"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."
"For the university, the cost of the solution is free for the students and teachers."
"I used an educational license for this solution, which is available free of charge."
"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
7%
University
11%
Computer Software Company
11%
Educational Organization
10%
Manufacturing Company
9%
 

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 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 needs improvement with RapidMiner?
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 t...
 

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: May 2024.
789,291 professionals have used our research since 2012.