This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-888-670-8889 (US/CAN) or
+1-519-432-3550 (International)

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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

{y}

{name}

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

Translation missing: en.product_page.ratings.score 7.7

View Altair RapidMiner in this category (opens in a new tab)

Altair RapidMiner Reviews

Mohamed K.

Role: Information Technology
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

Fantastic Data Science Platform!

Likeliness to Recommend

8 /10

What differentiates Altair RapidMiner from other similar products?

User-friendly interface and wide range of features. RapidMiner offers a variety of features that support the entire data science process, from data preparation to modelling to validation.

What is your favorite aspect of this product?

RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner's project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

What do you dislike most about this product?

Can offer demo version as web application.

What recommendations would you give to someone considering this product?

Download the free version and read well the documentation and tutorials.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Siddharth S.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Best Data Analytics and AI Platform

Likeliness to Recommend

10 /10

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

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

Validated Review

Anonymous Reviewer

Submitted May 2024

Easy to use and deploy, but lack of Features

Likeliness to Recommend

8 /10

Pros

Performance Enhancing
Trustworthy
Saves Time
Respectful

Cons

Commodity Features

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

Mohamed K.

Fantastic Data Science Platform!

Likeliness to Recommend

Pros

Siddharth S.

Best Data Analytics and AI Platform

Likeliness to Recommend

Pros

Easy to use and deploy, but lack of Features

Likeliness to Recommend

Pros

Cons

Most Popular Altair RapidMiner Comparisons

Google Cloud Vertex AI

MathWorks MATLAB

AWS Machine Learning

Microsoft Azure Machine Learning

DataRobot AI Platform

Databricks Data Intelligence Platform

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