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.
Product | Market Share (%) |
---|---|
Altair RapidMiner | 11.5% |
Alteryx | 15.0% |
Anaplan | 13.8% |
Other | 59.7% |
Type | Title | Date | |
---|---|---|---|
Category | Predictive Analytics | Sep 3, 2025 | Download |
Product | Reviews, tips, and advice from real users | Sep 3, 2025 | Download |
Comparison | Altair RapidMiner vs Alteryx | Sep 3, 2025 | Download |
Comparison | Altair RapidMiner vs SAP Analytics Cloud | Sep 3, 2025 | Download |
Comparison | Altair RapidMiner vs Anaplan | Sep 3, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
KNIME Business Hub | 4.1 | N/A | 94% | 60 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 10 |
Midsize Enterprise | 4 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 225 |
Midsize Enterprise | 119 |
Large Enterprise | 499 |
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?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.
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Author info | Rating | Review Summary |
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Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra | 4.0 | I use Altair RapidMiner in my teaching and research at Coimbra Business School, finding it user-friendly with strong support for the CRISP data mining model. However, it needs better generative AI integration and more business-focused examples. |
Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees | 4.0 | I use Altair RapidMiner to analyze stock data, appreciating its intuitive, low-code interface for data preparation and initial insights. While it's stable and easy to install, I seek more advanced AI features like neural networks. |
Senior Technical Manager at a computer software company with 1,001-5,000 employees | 4.0 | I use RapidMiner for educational projects and building machine learning models like clustering and decision trees. It's a user-friendly, no-code tool with many operators, though it needs better documentation and support for advanced features like deep neural networks. |
Technical Support Team Lead at HCLTech | 4.5 | I used RapidMiner primarily for predicting outcomes and classifying variables in numerical datasets. Its valuable data tuning feature enhances model accuracy. However, it lacks capabilities in image and email processing. Among various solutions, RapidMiner excelled in my data tuning needs. |
Student at IEBS SCHOOL | 4.0 | I used RapidMiner to analyze furniture sales and found it valuable for its all-in-one data handling capabilities and seamless integrations. However, improvements in automation and customization are needed. Despite lacking advanced features, it excels in ease of installation and affordability. |
Fondateur- Data Scientist - Analyste certifié sur RapidMiner at LDK 360 | 4.5 | As an electrical engineer transitioning careers, I found RapidMiner intuitive and beginner-friendly, aided by ample online resources. However, it lacks data-cleaning features, necessitating Python for such tasks in certain projects. Overall, it's powerful for sales analytics. |
Student at a university with 1,001-5,000 employees | 4.5 | I use RapidMiner for my coursework, primarily for handling recommendation systems and data cleaning. It's user-friendly, stable, and suitable for beginners. Improvements could include lower pricing, video tutorials, and Python integration. It's more robust than other solutions I've used. |
Data Analyst at a tech services company with 1,001-5,000 employees | 4.0 | I find RapidMiner to be valuable and easy to use, supported by a large community. However, its UI could be improved, especially compared to KNIME. We also evaluated SPSS and KNIME before deciding on RapidMiner for its interactivity. |