RapidMiner Reviews

Name: RapidMiner
Brand: RapidMiner
Rating: 4.3 (22 reviews)

Vendor: RapidMiner

4.3 out of 5

22 reviews
95% willing to recommend

1,570 followers

Post review

What is RapidMiner?

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Get the RapidMiner Buyer's Guide and find out what your peers are saying about RapidMiner, Alteryx, SAP Analytics Cloud and more!

RapidMiner is the #3 ranked solution in top Predictive Analytics solutions and #6 ranked solution in top Data Science Platforms. PeerSpot users give RapidMiner an average rating of 8.6 out of 10. RapidMiner is most commonly compared to Alteryx: RapidMiner vs Alteryx. RapidMiner is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 11% of all views.

Helped 816,660 peers since 2012

Featured reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

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. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

Read full review

Gopi Manoj Vuyyuru

Technical Support Team Lead at HCLTech

I would advise new users to remember that RapidMiner requires building your pipeline. You need to start from scratch, which includes loading the data, cleaning it, making visualizations, and training the model and is not fully automated. I wouldn't thoroughly recommend it if you don't have working knowledge. There are some support articles and built-in hints, but platforms like DataRobot, which are fully automated, might be better for you if you're starting. Learning RapidMiner as a beginner is straightforward. You need to understand how a model works, know the different stages involved in modelling, and the importance of cleaning data. RapidMiner has a learning platform where you can learn the basic modules and how things work. They also offer certifications if you complete courses and exams. It's a good option for beginners to thoroughly learn about different models and the modelling stages. Overall, I would rate it an eight out of ten.

Read full review

Lionel Der Krikorian

Fondateur- Data Scientist - Analyste certifié sur RapidMiner at LDK 360

I stopped using the solution a year ago. I will recommend the product to others. It is very intuitive. We don't need a lot of time to be operational. I am one of the top three contributors in the community. So, I get responses for free. I am not a partner officially. I test the features and give feedback to the community. I have never integrated the tool with other solutions. Overall, I rate the product a nine out of ten.

Read full review

RapidMiner mindshare

Product category:

As of November 2024, the mindshare of RapidMiner in the Predictive Analytics category stands at 17.3%, down from 20.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Predictive Analytics

Key learnings from peers

Valuable Features

"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"
"The solution is very intuitive and powerful."
"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."

Room for Improvement

"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."
"The product must provide data-cleaning features."
"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."

Pricing

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."
"For the university, the cost of the solution is free for the students and teachers."
"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our RapidMiner Buyer's Guide for additional reliable information.