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Siemens Digital

Rapidminer AI Studio

Composite Score

7.5 /10

CX Score

7.8 /10

22 Reviews Write a Review

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What is Rapidminer AI Studio?

Regardless of where your organization is on its data journey, Rapidminer AI Studio (formerly 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

Rapidminer AI Studio won the following awards in the Data Preparation for Analytics category

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0 Top Rated Capabilities

4 Top Rated Features

Latest Award, 2026

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2025

2 Top Rated Capabilities

2 Top Rated Features

2025

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

2 Top Rated Capabilities

7 Top Rated Features

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

4 Top Rated Capabilities

3 Top Rated Features

2023

Rapidminer AI Studio Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Rapidminer AI Studio.

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.

86 Likeliness to Recommend

1
Since last award

100 Plan to Renew

76 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.

+92 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 Rapidminer AI Studio?

0% Negative

8% Neutral

92% Positive

Pros

Helps Innovate
Continually Improving Product
Unique Features
Inspires Innovation

Feature Ratings

Average 80

Data Preparation Workflow

Data Modelling Tools

Record Deduplication

Lineage & Basic Auditing

Data Mining

Data Cleansing

Data Labeling

Data Profiling

Data Security & Masking

Data Integration

Self Service and Ad Hoc Capabilities

Vendor Capability Ratings

Average 78

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation

Vendor Support

Business Value Created

Also Featured in...

Machine Learning Platforms

Score 7.6

View Rapidminer AI Studio in this category (opens in a new tab)

Rapidminer AI Studio Reviews

Ricardo Alberto M.

Role: Industry Specific Role
Industry: Transportation
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2024

Good product, can customize and great customer sup

Likeliness to Recommend

8 /10

What differentiates Rapidminer AI Studio from other similar products?

Their customer support and the possibility to customize

What is your favorite aspect of this product?

Innovation

What do you dislike most about this product?

Sometimes not very intuitive

What recommendations would you give to someone considering this product?

Take a course for it's use and application for your business

Pros

Trustworthy
Efficient Service
Respectful
Client Friendly Policies

Anthony K.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Data science democratized for the masses.

Likeliness to Recommend

10 /10

What differentiates Rapidminer AI Studio from other similar products?

Altair as a low-code no-code environment where non-technical workers can begin to craft data pipelines and workflows. Other products still require the customers to have dedicated python engineering support, which means that the competing products have less features that are easy-to-use.

What is your favorite aspect of this product?

I love that you can effectively write operations that are equivalent to python without having to resort to coding python or computer science majors.

What do you dislike most about this product?

I would like there to be more compatibility with niche databases.

What recommendations would you give to someone considering this product?

Use this product if you are tasked with data science and creating understanding from large databases or spreadsheets. You can achieve this without having to ramp up a bunch of data scientists. Democratized data science means that your regular employees can find the strength inside to accomplish anything, with some help from RapidMiner products.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Tales J.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Excellent product! The features are very good and

Likeliness to Recommend

9 /10

What differentiates Rapidminer AI Studio from other similar products?

Altair RapidMiner differentiates itself with a user-friendly interface, comprehensive integration of data prep, machine learning, and deployment, plus strong scalability and flexibility for handling large datasets.

What is your favorite aspect of this product?

My favorite aspect of Altair RapidMiner is its user-friendly interface, which makes complex data analysis and machine learning accessible even to those with less technical expertise.

What do you dislike most about this product?

One aspect that some users find challenging is the learning curve associated with mastering all its advanced features and integrations, which can be steep for beginners.

What recommendations would you give to someone considering this product?

I’d suggest starting with the comprehensive tutorials and documentation provided to get a solid understanding of its capabilities. It's also beneficial to evaluate how well it integrates with your existing tools and data workflows to ensure it meets your specific needs effectively.

Pros

Respectful
Efficient Service
Helps Innovate
Continually Improving Product

Rapidminer AI Studio

What is Rapidminer AI Studio?

Company Details

Need Assistance?

Awards & Recognition

Rapidminer AI Studio Ratings

86 Likeliness to Recommend

1 Since last award

100 Plan to Renew

76 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Rapidminer AI Studio?

Pros

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

Data Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Lineage & Basic Auditing Tracks transformation steps, column dependencies, and change history to ensure data transparency, traceability, and reproducibility in analytics workflows.

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Data Labeling Ability to annotate/label data to create a training data set.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Security & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Also Featured in...

Machine Learning Platforms

Rapidminer AI Studio Reviews

Ricardo Alberto M.

Good product, can customize and great customer sup

Likeliness to Recommend

Pros

Anthony K.

Data science democratized for the masses.

Likeliness to Recommend

Pros

Tales J.

Excellent product! The features are very good and

Likeliness to Recommend

Pros

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Feature Ratings

Data Preparation Workflow

Data Modelling Tools

Record Deduplication

Lineage & Basic Auditing

Data Mining

Data Cleansing

Data Labeling

Data Profiling

Data Security & Masking

Data Integration

Self Service and Ad Hoc Capabilities

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Ease of Implementation

Vendor Support

Business Value Created