

What is Altair RapidMiner?
Regardless of where your organization is on its data journey, Altair RapidMiner can help overcome the most challenging obstacles in your way. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals without changing who you are or what you have.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
83 Likeliness to Recommend
94 Plan to Renew
78 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+80 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Altair RapidMiner?
Pros
- Respectful
- Inspires Innovation
- Reliable
- Performance Enhancing
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Explainability
Data Ingestion
Data Pre-Processing
Algorithm Diversity
Model Training
Ensembling
Feature Engineering
Performance and Scalability
Pre-Packaged AI/ML Services
Model Tuning
Algorithm Recommendation
Vendor Capability Ratings
Ease of Data Integration
Ease of Implementation
Quality of Features
Usability and Intuitiveness
Breadth of Features
Business Value Created
Availability and Quality of Training
Ease of IT Administration
Vendor Support
Ease of Customization
Product Strategy and Rate of Improvement
Also Featured in...
Altair RapidMiner Reviews
Siddharth S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2024
Best Data Analytics and AI Platform
Likeliness to Recommend
What differentiates Altair RapidMiner from other similar products?
Altair RapidMiner differentiates itself through its strong emphasis on user-friendly, no-code and low-code environments
What is your favorite aspect of this product?
My favorite aspect of Altair RapidMiner is its intuitive interface that allows users to build and deploy machine learning models without needing extensive coding knowledge
What do you dislike most about this product?
its llm model training its little bit complex to understand
What recommendations would you give to someone considering this product?
i will recommended to startup and ai based company
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Please tell us why you think this review should be flagged.
- Role: Student Academic
- Industry: Education
- Involvement: Business Leader or Manager
Submitted May 2024
Easy to use and deploy, but lack of Features
Likeliness to Recommend
Pros
- Performance Enhancing
- Trustworthy
- Saves Time
- Respectful
Cons
- Commodity Features
Please tell us why you think this review should be flagged.

Andrew C.
- Role: Student Academic
- Industry: Education
- Involvement: IT Leader or Manager
Submitted Apr 2024
Good for teaching but academic licensing poor
Likeliness to Recommend
What differentiates Altair RapidMiner from other similar products?
Visual creation of processes makes it easy to teach data science basics to students who are not coders.
What is your favorite aspect of this product?
Easy to create and explain processes.
What do you dislike most about this product?
It's clear that academic licensing is under threat. This will force me to use an alternative like Knime. It's not at all obvious how the product will survive with Altair; another reason to move away from it. It's also not at all obvious what licenses cost; students always ask but it's impossible to answer.
What recommendations would you give to someone considering this product?
Great for starting out but use it as a route to open-source alternatives where licensing is easier to understand.
Pros
- Respectful
- Reliable
- Performance Enhancing
- Enables Productivity
Cons
- Commodity Features
- Vendor's Interest First
- Inhibits Innovation
Please tell us why you think this review should be flagged.
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