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RapidMiner pros and cons

Vendor: RapidMiner
4.3 out of 5
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1,570 followers
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Pros & Cons summary

RapidMiner enables code-free machine learning for easy model deployment, supporting CSV, Excel, and SPSS file formats. Its scalability suits global use with efficient data handling. Strong collaboration and governance features are provided, yet online data services need improvement. The platform lacks adequate documentation, data-cleaning features, and image processing for OCR. Costs are high in Latin markets, and more algorithms for time-series forecasting are needed. Built-in data tuning boosts model accuracy.

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Prominent pros & cons

PROS

RapidMiner offers a no-code environment, ideal for users without programming skills, by allowing model deployment without writing code.
It provides robust collaboration and governance features, useful for comprehensive data operations from extraction to modeling.
The tool is highly scalable and suitable for global implementations, offering a wide range of operators including Binary classification and Auto Model.
RapidMiner supports a large number of file formats like CSV, Excel, and SPSS, enhancing its flexibility in data handling.
The tool allows for fine-tuning variables to improve model accuracy, providing better tuning than traditional automated machine-learning models.

CONS

RapidMiner could improve by offering more machine learning algorithms for time-series forecasting models.
Deep learning models should be more accessible and easier to use for all users.
A higher price point for RapidMiner is a concern in markets like Mexico or Latin America.
RapidMiner lacks engagement in domains like image processing and does not offer email processing features.
Improvement in documentation and offering more tutorials for new users is needed to ease the learning process.
 

RapidMiner Pros review quotes

reviewer1260093 - PeerSpot reviewer
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.
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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.
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Gopi Manoj Vuyyuru - PeerSpot reviewer
Jun 3, 2024
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
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RapidMiner
December 2024
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MN
Jan 16, 2020
Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.
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reviewer1391382 - PeerSpot reviewer
Jun 3, 2021
The data science, collaboration, and IDN are very, very strong.
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reviewer1028862 - PeerSpot reviewer
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.
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AL
Mar 24, 2020
The best part of RapidMiner is efficiency.
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AL
May 31, 2021
RapidMiner is very easy to use.
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reviewer2141595 - PeerSpot reviewer
May 15, 2023
The solution is stable.
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Rathnam Makam - PeerSpot reviewer
May 7, 2024
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.
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RapidMiner Cons review quotes

reviewer1260093 - PeerSpot reviewer
Jan 9, 2020
It would be helpful to have some tutorials on communicating with Python.
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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.
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Gopi Manoj Vuyyuru - PeerSpot reviewer
Jun 3, 2024
About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature.
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Buyer's Guide
RapidMiner
December 2024
Free Report: RapidMiner Reviews and More
Learn what your peers think about RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
DOWNLOAD NOW
824,053 professionals have used our research since 2012.
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.
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reviewer1391382 - PeerSpot reviewer
Jun 3, 2021
In the Mexican or Latin American market, it's kind of pricey.
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reviewer1028862 - PeerSpot reviewer
Dec 13, 2021
RapidMiner isn't cheap. It's a complete solution, but it's costly.
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AL
Mar 24, 2020
I think that they should make deep learning models easier.
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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.
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reviewer2141595 - PeerSpot reviewer
May 15, 2023
If they could include video tutorials, people would find that quite helpful.
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Rathnam Makam - PeerSpot reviewer
May 7, 2024
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.
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