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Altair Engineering, Inc.

Altair RapidMiner

Composite Score

7.5 /10

CX Score

7.7 /10

51 Reviews Write a Review

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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

2025

2 Top Rated Capabilities

1 Top Rated Features

2024

2 Top Rated Capabilities

1 Top Rated Features

2023

Contract Negotiation

2022

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.

82 Likeliness to Recommend

1
Since last award

94 Plan to Renew

74 Satisfaction of Cost Relative to Value

2
Since last award

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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.

+83 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?

7% Negative

6% Neutral

87% Positive

Pros

Respectful
Performance Enhancing
Reliable
Enables Productivity

Feature Ratings

Average 76

Explainability

Data Ingestion

Algorithm Diversity

Feature Engineering

Pre-Packaged AI/ML Services

Model Training

Data Pre-Processing

Algorithm Recommendation

Ensembling

Data Exploration and Visualization

Performance and Scalability

Vendor Capability Ratings

Average 75

Ease of Data Integration

Breadth of Features

Business Value Created

Ease of Implementation

Availability and Quality of Training

Quality of Features

Usability and Intuitiveness

Vendor Support

Ease of Customization

Ease of IT Administration

Product Strategy and Rate of Improvement

Altair RapidMiner Reviews

Srikanth C.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2024

Best Analytical platform

Likeliness to Recommend

9 /10

What differentiates Altair RapidMiner from other similar products?

The interface is very user friendly and customisable. The options to customise code space and editor are really comfortable to use. The overall cost assosiated with the product is also reasonable.

What is your favorite aspect of this product?

The ability to write code in different languages seamlessly is very convenient. I could switch between python, SQL AND R effortlessly. Creating data flows and integrating big data is also made easy.

What do you dislike most about this product?

Maintaining and organizing code base is a bit lacking as it is ofter cumbersome to find old codes.

What recommendations would you give to someone considering this product?

Understanding of Analytics and AI beforehand is needed and the platform could give a boost to our efficiency

Pros

Reliable
Performance Enhancing
Enables Productivity
Caring

Sangita M.

Role: Sales Marketing
Industry: Biotechnology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2024

Fantastic product!

Likeliness to Recommend

9 /10

What differentiates Altair RapidMiner from other similar products?

Altair Data Analytics and AI stands out from other similar products particularly in user friendly interface and robust visualization features along with rich documentation. It focuses on integrated modeling and simulation capabilities which enable user to optimize complex systems.

What is your favorite aspect of this product?

I like the range of intuitive visualization which helps to communicate findings effectively.

What do you dislike most about this product?

I think sometimes the extensive features of the product can be overwhelming to new users.

What recommendations would you give to someone considering this product?

I recommend to try with a trial or demo to get hands-on experience to get a sense of the products. Additionally, take advantage of enrich documentation, training resources and community forums will be helpful.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

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

Altair RapidMiner

What is Altair RapidMiner?

Company Details

Need Assistance?

Awards & Recognition

Altair RapidMiner Ratings

82 Likeliness to Recommend

1 Since last award

94 Plan to Renew

74 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+83 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.

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

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

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

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

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

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

Ensembling 'Ability to combine ML models for best results.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

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

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.

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.

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.

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.

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.

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.

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

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.

Altair RapidMiner Reviews

Srikanth C.

Best Analytical platform

Likeliness to Recommend

Pros

Sangita M.

Fantastic product!

Likeliness to Recommend

Pros

Rahul M.

User friendly end-to-end Data Science platform

Likeliness to Recommend

Pros

Most Popular Altair RapidMiner Comparisons

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1
Since last award

2
Since last award

Feature Ratings

Explainability

Data Ingestion

Algorithm Diversity

Feature Engineering

Pre-Packaged AI/ML Services

Model Training

Data Pre-Processing

Algorithm Recommendation

Ensembling

Data Exploration and Visualization

Performance and Scalability

Vendor Capability Ratings

Ease of Data Integration

Breadth of Features

Business Value Created

Ease of Implementation

Availability and Quality of Training

Quality of Features

Usability and Intuitiveness

Vendor Support

Ease of Customization

Ease of IT Administration

Product Strategy and Rate of Improvement