Altair RapidMiner Reviews

Name: Altair RapidMiner
Brand: Altair
Rating: 4.3 (24 reviews)

Vendor: Altair

4.3 out of 5

24 reviews
96% willing to recommend

1,320 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 #2 ranked solution in top Predictive Analytics solutions and #7 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 Databricks: Altair RapidMiner vs Databricks. Altair RapidMiner is popular among the large enterprise segment, accounting for 61% 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 856,856 peers since 2012

Featured Altair RapidMiner reviews

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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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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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 June 2025, the mindshare of Altair RapidMiner in the Predictive Analytics category stands at 14.9%, down from 18.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Predictive Analytics

PeerResearch reports based on Altair RapidMiner reviews

Type	Title	Date
Category	Predictive Analytics	Jun 14, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 14, 2025	Download
Comparison	Altair RapidMiner vs Alteryx	Jun 14, 2025	Download
Comparison	Altair RapidMiner vs SAP Analytics Cloud	Jun 14, 2025	Download
Comparison	Altair RapidMiner vs Anaplan	Jun 14, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	N/A	96%	91 interviews Add to research
KNIME	4.1	N/A	94%	60 interviews Add to research

Valuable Features

Altair RapidMiner boasts cutting-edge data science tools, an easy-to-use code-optional GUI, and open-source flexibility. It allows seamless integration with various programming languages and cloud platforms. Users value its efficiency, automation, and capability to handle complex datasets, offering intuitive analytics and model-building processes. With excellent documentation and community support, its Auto ML feature empowers non-coders, providing extensive capabilities in machine learning and predictive analytics. Highly appreciated are its versatility, ease of use, and quick prototyping features.

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."
"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."
"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"

Room for Improvement

Altair RapidMiner requires enhancements in its user interface and integration capabilities, as well as improvements in deep learning and machine learning algorithms. Speed loading times, pricing, and ease of use for beginners need attention. Users seek wider community adoption, better online data services, and improved tutorials for Python integration. Enhanced automation, customization options, data cleaning features, and image processing capabilities are also desired. More business-oriented examples and advanced AI model suggestions are requested.

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."
"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."
"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."

Pricing

Enterprise users can experience a range of Altair RapidMiner pricing models, including a freemium option for datasets under 10,000 rows and free academic licenses. Companies find the paid licenses more affordable than competitors like SAS or SPSS, typically ranging from $5,000 to $10,000 USD per year. Multiple reviews indicate that while the solution is powerful and often costly, many consider it a valuable investment with transparent pricing and no hidden costs.

"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 primarily used for developing and deploying machine learning workflows in business analytics, education, and data science projects. It aids in predictive analytics, data preparation, segmentation, and statistical education. Organizations apply it for customer churn prediction, financial crime management, pharmaceutical industry analysis, and psychiatric case studies. It supports teaching, data modeling, forecasting, sales analytics, and market-based analysis, proving beneficial in various industries from telecom to education.

Service and Support

Customers express positive experiences with Altair RapidMiner's customer service. Many resolve issues via community forums and resources. Technical support is rated highly, often deemed fantastic or incredible, with partners highlighting exceptional assistance. Community forums and blogs are valuable resources for resolving technical challenges, offering quick responses. Users find the software intuitive, needing minimal direct support. Even without contacting support directly, users benefit from accessible guidance through built-in features and a robust online user community.

Deployment

Altair RapidMiner's initial setup is often described as straightforward and easy to manage. Desktop versions are particularly user-friendly, requiring no additional installation. However, success with more complex deployment models demands data science knowledge. Some users found the process quick, citing instances where setup took only minutes. Users with large datasets sometimes experienced extended setup times. Effective maintenance involves a small team, and technical support from partners is often available when needed.

Scalability

User experiences with Altair RapidMiner indicate it is scalable, especially effective in sizable deployments and capable of handling large transaction volumes. It supports various deployment models, though transition to operational scenarios can be complex. Users appreciate its support for multiple data-driven tasks, but some have yet to assess its scalability, particularly with the server version. Scalability considerations include concurrent user handling and model deployment requirements. Suitable for extensive data-driven projects by data scientists and analysts.

Stability

Users generally find Altair RapidMiner stable, with no issues regarding downtime or crashes. Some mention longer loading times due to the number of models but report smooth operation after startup. A few have experienced occasional problems with extensions and primary processing tasks, particularly with the operator's toolbox, but these are not widespread. Stability is rated highly, and users appreciate its reliable performance in machine learning applications, though its performance with large datasets remains mostly untested.

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%

Educational Organization

Financial Services Firm

Manufacturing Company

Government

Comms Service Provider

Retailer

Healthcare Company

Construction Company

Hospitality Company

Legal Firm

Real Estate/Law Firm

Energy/Utilities Company

Non Profit

Performing Arts

Insurance Company

Media Company

Wholesaler/Distributor

Consumer Goods Company

Transportation Company

Pharma/Biotech Company

Mining And Metals Company

Marketing Services Firm

Outsourcing Company

Recreational Facilities/Services Company

Logistics Company

Agriculture

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.