![](https://softwarereviews.s3.amazonaws.com/production/favicons/offerings/7812/original/e9bc0128-ac1b-4a6f-b10b-fae85ca6576f__1_-removebg-preview.png)
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
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceAltair RapidMiner Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on Altair RapidMiner.
82 Likeliness to Recommend
1
Since last award
94 Plan to Renew
77 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
+78 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
Cons
- Commodity Features
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
Feature Engineering
Performance and Scalability
Ensembling
Model Tuning
Model Monitoring and Management
Data Exploration and Visualization
Vendor Capability Ratings
Ease of Data Integration
Ease of Implementation
Quality of Features
Usability and Intuitiveness
Breadth of Features
Business Value Created
Ease of IT Administration
Availability and Quality of Training
Vendor Support
Ease of Customization
Product Strategy and Rate of Improvement
Also Featured in...
Altair RapidMiner Reviews
- 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
Rahul M.
- Role: Information Technology
- Industry: Energy
- Involvement: End User of Application
Submitted Apr 2024
User friendly end-to-end Data Science platform
Likeliness to Recommend
What differentiates Altair RapidMiner from other similar products?
User friendly interface, integration with other technologies and customizability
What is your favorite aspect of this product?
It spans the whole ML lifecycle and can be used to build end to end solutions without third party dependencies.
What do you dislike most about this product?
Lacking full scale integration with cloud services ETL workflow capabilities could be improved
What recommendations would you give to someone considering this product?
Requires dedicated team for administration and trained developers for the platform
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Unique Features
![](https://cdn.softwarereviews.com/production/profile_image/2181457/original/2181457.jpg?1714150776)
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