Altair RapidMiner Reviews

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

Vendor: Altair

4.3 out of 5

22 reviews
95% willing to recommend

1,568 followers

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What is Altair RapidMiner?

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

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Altair RapidMiner is the #3 ranked solution in top Predictive Analytics solutions and #6 ranked solution in top Data Science Platforms. PeerSpot users give Altair RapidMiner an average rating of 8.6 out of 10. Altair RapidMiner is most commonly compared to Alteryx: Altair RapidMiner vs Alteryx. Altair RapidMiner is popular among the large enterprise segment, accounting for 62% 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 839,422 peers since 2012

Featured Altair RapidMiner 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.

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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.

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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.

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Altair RapidMiner mindshare

Product category:

As of March 2025, the mindshare of Altair RapidMiner in the Predictive Analytics category stands at 16.5%, down from 20.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Predictive Analytics

PeerAnalyst reports based on Altair RapidMiner reviews

Type	Title	Date
Category	Predictive Analytics	Mar 4, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 4, 2025	Download
Comparison	Altair RapidMiner vs Alteryx	Mar 4, 2025	Download
Comparison	Altair RapidMiner vs SAP Analytics Cloud	Mar 4, 2025	Download
Comparison	Altair RapidMiner vs Anaplan	Mar 4, 2025	Download

Title	Rating	Mindshare	Recommending
Alteryx	4.2	22.9%	89%	81 interviews Add to research
SAP Analytics Cloud	4.0	15.4%	91%	69 interviews Add to research

Valuable Features

Altair RapidMiner's most valuable features include ease of use with code-optional GUI, extensive machine learning tools, and rich data integration capabilities. Users appreciate its intuitive drag-and-drop interface, efficient prototyping, and automation features. RapidMiner supports many file formats and tutorials. It allows for non-coders to deploy models effectively and offers quick setup, making it practical for beginners and seasoned data scientists alike. Its ability to compare algorithms and optimize model accuracy is highly valued.

"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

Users suggest improvements for Altair RapidMiner in areas like user interface simplicity, wider adoption, and load speed. They want deeper learning models accessible and easier to use, enhanced data integration, and better machine learning algorithms. Enhanced automation, customization options, and comprehensive tutorials would aid user experience. Pricing concerns exist, and there's a desire for better documentation and support for tasks like data cleaning and image processing. Lastly, increased functionality for working with external tools like Python is desired.

"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

Altair RapidMiner offers a freemium pricing model allowing free access for datasets with fewer than 10,000 rows, with free academic licensing available for educational purposes. Companies typically pay between $5,000 and $10,000 annually, making RapidMiner more affordable than competitors like SAS and SPSS. Clients highlight the absence of hidden or maintenance costs, but some note it can be costly in specific markets. Discounts are available, though it's considered expensive due to its powerful capabilities.

"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."

Popular Use Cases

Altair RapidMiner is utilized by various organizations for developing and deploying machine learning workflows in fields such as predictive analytics, data science education, and financial crime management. Teams use it for data cleaning, preparation, and forecasting in telecom, sales analytics, and pharmaceutical research. In academia, it aids in teaching data mining and building machine learning models. It supports tasks like clustering, decision trees, and time series analysis, integrating well with tools like Python and Azure Machine Learning Studio.

Service and Support

Altair RapidMiner's customer service is praised as fantastic and incredible by partners. Many users prefer solving issues independently or through community forums. Technical support is often not directly contacted. Instead, users find information in blogs, articles, or online forums. Licensing issues and partners' experiences highlight prompt and effective support, but non-partners might experience different service levels. Platform's built-in guidance and community resources often suffice, reducing reliance on direct support contact.

Deployment

Users find Altair RapidMiner setup mostly straightforward and easy, requiring minimal time and effort. While the desktop version is simple, understanding machine learning models is crucial. Some experience longer setups for complex installations or cloud deployments. The software is user-friendly for experienced data scientists but can be challenging for beginners. Assistance from vendors and having a strategy for impactful model outputs are beneficial. In simpler scenarios, deployment takes only minutes.

Scalability

Altair RapidMiner is seen as a scalable option suitable for companies processing large transaction volumes. Users note stability and effective tools, though assistance may be required for complex setups. It's used by data scientists and analysts, with possibilities for extensive model deployment. While some have only used it locally or for educational purposes, others have observed positive scaling in commercial environments, processing significant data volumes efficiently. Scalability testing remains limited for some due to its desktop usage.

Stability

Altair RapidMiner exhibits commendable stability, despite occasional long load times and specific issues such as the operator's toolbox and extensions. Some users experience occasional delays during programs, especially with primary processing tasks. No bugs or crashes have been mentioned. There are positive sentiments about its reliable performance and consistent status in the tech industry, with some still testing its full capacity with large datasets. Altair RapidMiner's scalability also receives favorable mentions.

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

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

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

Manufacturing Company

Healthcare Company

Retailer

Comms Service Provider

Construction Company

Government

Legal Firm

Hospitality Company

Energy/Utilities Company

Non Profit

Real Estate/Law Firm

Performing Arts

Media Company

Wholesaler/Distributor

Insurance Company

Consumer Goods Company

Pharma/Biotech Company

Recreational Facilities/Services Company

Transportation Company

Marketing Services Firm

Outsourcing Company

Mining And Metals Company

Compare Altair RapidMiner with alternative products

Learn more about Altair RapidMiner

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.