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Altair RapidMiner pros and cons

Vendor: Altair
4.3 out of 5
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1,568 followers
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Pros & Cons summary

Altair RapidMiner offers drag-and-drop functionality, comprehensive documentation, and supports various file formats. It facilitates decision-making, data profiling, and forecasting with features like data tuning. However, it is costly in markets like Mexico, and users seek more tutorials, improved automation, and customization options. Enhancements in deep learning and model accessibility are needed, along with support for image and email processing to streamline processes for tech buyers.

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Prominent pros & cons

PROS

Altair RapidMiner is a no-code machine learning tool which allows users to prepare, extract, transform, and load data within the same tool.
It provides utility to automatically launch a series of models, show comparisons, and select and deploy the best one.
Collaboration and governance features make it a comprehensive platform covering everything from data extraction to modeling operations in the ML language.
Altair RapidMiner reads a large number of file formats, including CSV, Excel, and SPSS, enhancing its versatility.
The built-in data tuning feature enables fine-tuning of variables, such as adjusting the number of nodes or the depth of trees, to achieve higher model accuracy.

CONS

Altair RapidMiner is costly, especially in the Mexican or Latin American market.
The price needs improvement.
Altair RapidMiner lacks deep learning model accessibility and usability and could enhance features.
There are limited machine learning algorithms for generating time-series forecasting models.
The Altair RapidMiner documentation is insufficient, making it challenging for new users to find resources.
 

Altair 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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Buyer's Guide
Altair RapidMiner
February 2025
Free Report: Altair RapidMiner Reviews and More
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
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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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Altair 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
Altair RapidMiner
February 2025
Free Report: Altair RapidMiner Reviews and More
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
DOWNLOAD NOW
839,422 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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