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Altair Engineering, Inc.

Altair RapidMiner

Composite Score

7.2 /10

CX Score

7.3 /10

27 Reviews Write a Review

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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Awards & Recognition

Altair RapidMiner won the following awards in the Machine Learning Platforms category

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2 Top Rated Capabilities

1 Top Rated Features

2024

2 Top Rated Capabilities

1 Top Rated Features

2023

3 Top Rated Capabilities

2 Top Rated Features

2022

Altair 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.

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

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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?

5% Negative

0% Neutral

95% Positive

Pros

Respectful
Inspires Innovation
Reliable
Performance Enhancing

Feature Ratings

Average 76

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

Average 76

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...

Data Preparation for Analytics

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Altair RapidMiner Reviews

Rahul M.

Role: Information Technology
Industry: Energy
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

User friendly end-to-end Data Science platform

Likeliness to Recommend

7 /10

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

Andrew C.

Role: Student Academic
Industry: Education
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2024

Good for teaching but academic licensing poor

Likeliness to Recommend

6 /10

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

Yasin O.

Role: Student Academic
Industry: Education
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

Excellent software to teach data mining!

Likeliness to Recommend

9 /10

What differentiates Altair RapidMiner from other similar products?

Easy to understand processes.

What is your favorite aspect of this product?

Simplicity.

What do you dislike most about this product?

Could be more innovative.

What recommendations would you give to someone considering this product?

Find a good textbook.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Latest Research

Altair RapidMiner

What is Altair RapidMiner?

Company Details

Need Assistance?

Awards & Recognition

Altair RapidMiner Ratings

83 Likeliness to Recommend

94 Plan to Renew

78 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+80 Net Emotional Footprint

How much do users love Altair RapidMiner?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Explainability Ability to explain/ visualize the model.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Training Ability to train a model with a range of data sets that you provide.

Ensembling 'Ability to combine ML models for best results.

Feature Engineering Ability to extract and build features from raw data.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Data Preparation for Analytics

Altair RapidMiner Reviews

Rahul M.

User friendly end-to-end Data Science platform

Likeliness to Recommend

Pros

Andrew C.

Good for teaching but academic licensing poor

Likeliness to Recommend

Pros

Cons

Yasin O.

Excellent software to teach data mining!

Likeliness to Recommend

Pros

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Title

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