Altair RapidMiner vs IBM Predictive Analytics comparison

Altair and IBM are both solutions in the Predictive Analytics category. Altair is ranked #2 with an average rating of 8.1, while IBM is ranked #13. Altair holds a 12.5% mindshare in PA, compared to IBM’s 1.8% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

5,047 Views
707 Comparison Views

96% willing to recommend

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

134 Views
119 Comparison Views

100% willing to recommend

Altair RapidMiner

IBM Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

Altair RapidMiner and IBM Predictive Analytics are products in data analytics. Altair RapidMiner appears favorable in terms of pricing and support, whereas IBM Predictive Analytics is superior in features, making it worth the investment.

Features: Altair RapidMiner provides automated model creation, easy data preparation, and efficient insights delivery. IBM Predictive Analytics offers a comprehensive suite for advanced predictive modeling, integration with enterprise systems, and extensive features for complex analytics needs.

Ease of Deployment and Customer Service: Altair RapidMiner offers straightforward deployment and responsive support. IBM Predictive Analytics has a more complex setup but provides robust customer service and extensive documentation. RapidMiner is easier to deploy, while IBM offers better long-term service.

Pricing and ROI: Altair RapidMiner involves moderate setup costs and quick ROI due to efficiency. IBM Predictive Analytics requires a higher initial investment but provides better long-term ROI with superior functionality. RapidMiner is cost-effective initially; IBM's investment is justified by enhanced capabilities and long-term gains.

To learn more, read our detailed Predictive Analytics Report (Updated: July 2025).

Buyer's Guide

Predictive Analytics

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Altair RapidMiner

Ranking in Predictive Analytics

2nd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (7th)

IBM Predictive Analytics

Ranking in Predictive Analytics

13th

Average Rating

7.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 12.5%, down from 17.8% compared to the previous year. The mindshare of IBM Predictive Analytics is 1.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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Luigi-Esposito

Head of Digital Consulting at a tech services company with 10,001+ employees

Good prediction capability for marketing purposes, although it needs to be more flexible

I found it very hard to change the algorithm that is used for prediction and I think that this solution can be more flexible. It looks like more of a black box in some cases and there are few ways to intervene and specify actions. Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions. In the next release of this solution, I would like to see better integration with business solutions so that the data can be more easily accessed.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features are the Binary classification and Auto Model."

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

"RapidMiner for Windows is an excellent graphical tool for data science."

"The data science, collaboration, and IDN are very, very strong."

"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"

"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

"Using the GUI, I can have models and algorithms drag and drop nodes."

"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

More Altair RapidMiner pros

"The most valuable feature is the predictive capability in marketing use cases."

Cons

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"The product must provide data-cleaning features."

"A great product but confusing in some way with regard to the user interface and integration with other tools."

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."

"It would be helpful to have some tutorials on communicating with Python."

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

"RapidMiner can improve deep learning by enhancing the features."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

More Altair RapidMiner cons

"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."

Pricing and Cost Advice

"For the university, the cost of the solution is free for the students and teachers."

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"I used an educational license for this solution, which is available free of charge."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

Information not available

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

10%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...

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What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...

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Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 51% of the time

Dataiku vs Altair RapidMiner

Compared 15% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

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Persistent Data and Analytics vs IBM Predictive Analytics

Compared 100% of the time

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Product Reports

Buyer's Guide

Altair RapidMiner

August 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

July 2025

Download IBM Predictive Analytics product report

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

Altair

Information not available

IBM

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.

Find out what your peers are saying about Alteryx, Altair, SAP and others in Predictive Analytics. Updated: July 2025.

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