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Altair RapidMiner pros and cons

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

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Prominent pros & cons

PROS

RapidMiner is praised for its excellent data extraction and information processing capabilities.
It efficiently handles large volumes of data across various file formats like CSV, Excel, and SPSS.
Scalability and stability are key strengths, making it suitable for global implementations.
The all-in-one platform supports data preparation, transformation, and model deployment with ease.
RapidMiner is valued for its no-code approach, allowing users to focus on building effective models without extensive coding knowledge.

CONS

There is a need for improvement in the price of Altair RapidMiner to make it more accessible, particularly in the Mexican or Latin American markets.
The deep learning models should be more accessible and easier to use by all users within Altair RapidMiner.
Users face challenges with limited machine learning algorithms for generating time-series forecasting models in Altair RapidMiner.
Altair RapidMiner could benefit from more tutorials and better documentation to support new users and enhance communication with Python.
There is a need for improved data-cleaning features and more engagement in image processing and email processing within Altair RapidMiner.
 

Altair RapidMiner Pros review quotes

Laurence Moseley - 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.
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.
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
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
845,040 professionals have used our research since 2012.
MN
Jan 16, 2020
Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.
reviewer1391382 - PeerSpot reviewer
Jun 3, 2021
The data science, collaboration, and IDN are very, very strong.
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.
AL
Mar 24, 2020
The best part of RapidMiner is efficiency.
VS
Mar 14, 2025
Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding.
AL
May 31, 2021
RapidMiner is very easy to use.
reviewer2141595 - PeerSpot reviewer
May 15, 2023
The solution is stable.
 

Altair RapidMiner Cons review quotes

Laurence Moseley - PeerSpot reviewer
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.
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.
Learn what your peers think about Altair RapidMiner. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
845,040 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.
reviewer1391382 - PeerSpot reviewer
Jun 3, 2021
In the Mexican or Latin American market, it's kind of pricey.
reviewer1028862 - PeerSpot reviewer
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.
VS
Mar 14, 2025
Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved.
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.
reviewer2141595 - PeerSpot reviewer
May 15, 2023
If they could include video tutorials, people would find that quite helpful.