RapidMiner Pros and Cons

RapidMiner Pros

reviewer1260093
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.
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RajivSharma
Senior Product Manager at CustomerXps Software
The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.
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MayankNarula
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.
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Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
418,116 professionals have used our research since 2012.
reviewer984648
Professor at a university with 51-200 employees
The best part of RapidMiner is efficiency.
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reviewer984648
Professor at a university with 51-200 employees
RapidMiner is very easy to use.
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reviewer1088973
Pre-Sales BI at a wholesaler/distributor with 10,001+ employees
The most valuable feature is what the product sets out to do, which is extracting information and data.
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reviewer1025025
Project Engineer at a engineering company with 10,001+ employees
The documentation for this solution is very good, where each operator is explained with how to use it.
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Rohini Kram
Data Scientist at a tech company with 51-200 employees
The most valuable features are the Binary classification and Auto Model.
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RapidMiner Cons

reviewer1260093
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
It would be helpful to have some tutorials on communicating with Python.
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RajivSharma
Senior Product Manager at CustomerXps Software
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.
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MayankNarula
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
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.
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Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
418,116 professionals have used our research since 2012.
reviewer984648
Professor at a university with 51-200 employees
I think that they should make deep learning models easier.
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reviewer984648
Professor at a university with 51-200 employees
I would like to see all users have access to all of the deep learning models, and that they can be used easily.
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reviewer1088973
Pre-Sales BI at a wholesaler/distributor with 10,001+ employees
A great product but confusing in some way with regard to the user interface and integration with other tools.
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reviewer1025025
Project Engineer at a engineering company with 10,001+ employees
The price of this solution should be improved.
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Rohini Kram
Data Scientist at a tech company with 51-200 employees
RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.
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Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
418,116 professionals have used our research since 2012.