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RapidMiner Reviews

Vendor: RapidMiner
4.3 out of 5
Badge Leader
1,569 followers
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What is RapidMiner?

Featured reviews

RapidMiner mindshare

Product category:
As of January 2025, the mindshare of RapidMiner in the Predictive Analytics category stands at 16.4%, down from 20.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Predictive Analytics

PeerAnalyst reports

TypeTitleDate
CategoryPredictive AnalyticsJan 23, 2025Download
ProductReviews, tips, and advice from real usersJan 23, 2025Download
ComparisonRapidMiner vs AlteryxJan 23, 2025Download
ComparisonRapidMiner vs SAP Analytics CloudJan 23, 2025Download
ComparisonRapidMiner vs AnaplanJan 23, 2025Download
Suggested products
TitleRatingMindshareRecommending
Alteryx4.223.6%89%81 interviewsAdd to research
SAP Analytics Cloud4.015.6%91%69 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
University
12%
Computer Software Company
11%
Financial Services Firm
10%
Educational Organization
10%
Manufacturing Company
9%
Healthcare Company
4%
Comms Service Provider
4%
Government
4%
Retailer
4%
Construction Company
3%
Hospitality Company
3%
Energy/Utilities Company
3%
Legal Firm
3%
Non Profit
2%
Real Estate/Law Firm
2%
Wholesaler/Distributor
2%
Performing Arts
2%
Media Company
2%
Insurance Company
2%
Pharma/Biotech Company
1%
Mining And Metals Company
1%
Consumer Goods Company
1%
Recreational Facilities/Services Company
1%
Transportation Company
1%
Marketing Services Firm
1%
Outsourcing Company
1%
Logistics Company
1%
 

RapidMiner reviews

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Rathnam Makam - PeerSpot user
Senior Technical Manager at a computer software company with 1,001-5,000 employees
Verified user of RapidMiner
May 13, 2024
Product discussed: 9.10
A no-code tool that helps to build machine learning models

Pros

"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. "

Cons

"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. "
Gopi Manoj Vuyyuru - PeerSpot user
Technical Support Team Lead at HCLTech
Verified user of RapidMiner
Jun 13, 2024
An open-source software tool for data and text mining with an excellent built-in data tuning feature for achieving better accuracy

Pros

"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"

Cons

"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."
Find out what your peers are saying about RapidMiner. Updated January 2025
831,369 professionals have used our research since 2012.
PeerSpot user
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Verified user of RapidMiner
Jan 9, 2020
Product discussed: 7.9
Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms

Pros

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

Cons

"It would be helpful to have some tutorials on communicating with Python."
Lionel Der Krikorian - PeerSpot user
Fondateur- Data Scientist - Analyste certifié sur RapidMiner at LDK 360
Verified user of RapidMiner
Jun 4, 2024
Intuitive, powerful, easy to learn, and has a strong community

Pros

"The solution is very intuitive and powerful."

Cons

"The product must provide data-cleaning features."
MD
Student at IEBS SCHOOL
Verified user of RapidMiner
Mar 25, 2024
Easy to set up and supports a wide range of data sources and formats

Pros

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool. "

Cons

"I would appreciate improvements in automation and customization options to further streamline processes."
MN
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Verified user of RapidMiner
Jan 19, 2020
Product discussed: Cloud-based
Dedicated data science for enterprise-level data collection and analysis but the UI should be enhanced

Pros

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

Cons

"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. "
PeerSpot user
Student at a university with 1,001-5,000 employees
Verified user of RapidMiner
May 15, 2023
Easy to use, robust, and simple to deploy

Pros

"The solution is stable. "

Cons

"If they could include video tutorials, people would find that quite helpful. "
AL
Professor at Mines Rabat
Verified user of RapidMiner
Aug 22, 2022
Product discussed: Latest Version
Effective no code design, reliable, and simple to use

Pros

"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."

Cons

"RapidMiner can improve deep learning by enhancing the features."