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RapidMiner pros and cons

Vendor: RapidMiner
4.3 out of 5
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RapidMiner Pros review quotes

LM
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.
RS
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.
MN
Jan 16, 2020
Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.
Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.
AB
Jun 3, 2021
The data science, collaboration, and IDN are very, very strong.
LM
Dec 13, 2021
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.
AL
Mar 24, 2020
The best part of RapidMiner is efficiency.
AL
May 31, 2021
RapidMiner is very easy to use.
FF
May 15, 2023
The solution is stable.
AL
Aug 19, 2022
The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically.
PS
Dec 19, 2019
The most valuable feature is what the product sets out to do, which is extracting information and data.
 

RapidMiner Cons review quotes

LM
Jan 9, 2020
It would be helpful to have some tutorials on communicating with Python.
RS
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.
MN
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.
Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.
AB
Jun 3, 2021
In the Mexican or Latin American market, it's kind of pricey.
LM
Dec 13, 2021
RapidMiner isn't cheap. It's a complete solution, but it's costly.
AL
Mar 24, 2020
I think that they should make deep learning models easier.
AL
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.
FF
May 15, 2023
If they could include video tutorials, people would find that quite helpful.
AL
Aug 19, 2022
RapidMiner can improve deep learning by enhancing the features.
PS
Dec 19, 2019
A great product but confusing in some way with regard to the user interface and integration with other tools.