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Altair RapidMiner pros and cons

Vendor: Altair
4.3 out of 5
Badge Leader

Pros & Cons summary

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Prominent pros & cons

PROS

Altair RapidMiner offers an efficient platform for data science, making it competitive in the ML space with its comprehensive approach from data extraction to modeling operations.
It supports a wide range of file formats, including CSV, Excel, and especially SPSS, facilitating data handling and integration.
Altair RapidMiner provides a code-free environment, simplifying the modeling process with features like automatic model comparisons and deployment.
The platform is known for its strong collaboration and governance features, contributing to a robust data science experience.
With built-in data tuning capabilities, Altair RapidMiner allows for fine-tuning variables, enhancing the accuracy of models beyond traditional automated machine-learning models.

CONS

Altair RapidMiner pricing is considered high, particularly in the Mexican or Latin American market.
The inclusion of more machine learning algorithms for time-series forecasting is desired.
Lack of deep learning models is a concern; users want broader access and ease of use.
The tool's documentation and resources are limited, making it difficult for new users to learn.
Altair RapidMiner is inadequate for image processing and lacks email processing capabilities.
 

Altair RapidMiner Pros review quotes

AG
Director Research and Development at Projects Factory
Dec 26, 2017
Using the GUI, I can have models and algorithms drag and drop nodes.
DW
President and CEO at a tech services company with 1-10 employees
Mar 13, 2018
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_user1025025 - PeerSpot reviewer
Project Engineer at a engineering company with 10,001+ employees
Nov 13, 2019
The documentation for this solution is very good, where each operator is explained with how to use it.
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,082 professionals have used our research since 2012.
AL
Professor at Mines Rabat
May 31, 2021
RapidMiner is very easy to use.
RK
Data Scientist at a wireless company with 51-200 employees
Dec 10, 2019
The most valuable features are the Binary classification and Auto Model.
reviewer1088973 - PeerSpot reviewer
Pre Post Sales Engineer at a wholesaler/distributor with 10,001+ employees
Dec 19, 2019
The most valuable feature is what the product sets out to do, which is extracting information and data.
RS
Senior Product Manager at CustomerXps Software
Dec 4, 2020
The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.
Laurence Moseley - PeerSpot reviewer
Emeritus Professor of Health Services Research at University of South Wales
Jan 9, 2020
The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.
MN
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Jan 16, 2020
Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.
AL
Professor at Mines Rabat
Mar 24, 2020
The best part of RapidMiner is efficiency.
 

Altair RapidMiner Cons review quotes

AG
Director Research and Development at Projects Factory
Dec 26, 2017
Improve the online data services.
DW
President and CEO at a tech services company with 1-10 employees
Mar 13, 2018
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.
it_user1025025 - PeerSpot reviewer
Project Engineer at a engineering company with 10,001+ employees
Nov 13, 2019
The price of this solution should be improved.
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,082 professionals have used our research since 2012.
AL
Professor at Mines Rabat
May 31, 2021
I would like to see all users have access to all of the deep learning models, and that they can be used easily.
RK
Data Scientist at a wireless company with 51-200 employees
Dec 10, 2019
RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.
reviewer1088973 - PeerSpot reviewer
Pre Post Sales Engineer at a wholesaler/distributor with 10,001+ employees
Dec 19, 2019
A great product but confusing in some way with regard to the user interface and integration with other tools.
RS
Senior Product Manager at CustomerXps Software
Dec 4, 2020
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.
Laurence Moseley - PeerSpot reviewer
Emeritus Professor of Health Services Research at University of South Wales
Jan 9, 2020
It would be helpful to have some tutorials on communicating with Python.
MN
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Jan 16, 2020
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.
AL
Professor at Mines Rabat
Mar 24, 2020
I think that they should make deep learning models easier.