Altair RapidMiner vs IBM Predictive Analytics comparison

Altair and IBM are both solutions in the Predictive Analytics category. Altair is ranked #3 with an average rating of 8.3, while IBM is ranked #10. Altair holds a 7.3% mindshare in PA, compared to IBM’s 2.9% 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

4,265 Views
597 Comparison Views

96% willing to recommend

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

203 Views
199 Comparison Views

100% willing to recommend

Altair RapidMiner

IBM Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 21, 2025

Altair RapidMiner and IBM Predictive Analytics compete in predictive analytics. Altair RapidMiner stands out for pricing and ease of deployment, while IBM Predictive Analytics is preferred for robustness and value despite higher costs.

Features: Altair RapidMiner offers intuitive workflow design, versatility in data science, and seamless integrations with diverse datasets. IBM Predictive Analytics provides advanced statistical analysis, extensibility through custom scripting, and strong data integration capabilities for large enterprises.

Ease of Deployment and Customer Service: Altair RapidMiner ensures a straightforward deployment process, enabling quick setup with responsive customer service. IBM Predictive Analytics also offers efficient deployment solutions but is optimized for larger-scale implementations, requiring more setup time. Its customer service covers a wide range of support channels for businesses needing comprehensive service.

Pricing and ROI: Altair RapidMiner is recognized for cost-effective pricing with a lower setup cost, making it attractive to smaller or budget-conscious organizations. IBM Predictive Analytics, with a higher upfront investment, delivers substantial ROI through enterprise-scale analytics capabilities.

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

Buyer's Guide

Predictive Analytics

December 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

3rd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (8th)

IBM Predictive Analytics

Ranking in Predictive Analytics

10th

Average Rating

7.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 7.3%, down from 16.2% compared to the previous year. The mindshare of IBM Predictive Analytics is 2.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	7.3%
IBM Predictive Analytics	2.9%
Other	89.8%

Predictive Analytics

Featured Reviews

VictorSantos

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

Utilize intuitive CRISP model support and predictive analytics features for effective data analysis

Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding. The tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.

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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."

"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"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."

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"The best part of RapidMiner is efficiency."

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

"RapidMiner is very easy to use."

More Altair RapidMiner pros

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

Cons

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

"I would like to see more integration capabilities."

"If they could include video tutorials, people would find that quite helpful."

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."

"Improve the online data services."

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"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."

More Altair RapidMiner cons

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

Pricing and Cost Advice

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

"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'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."

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

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

Information not available

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

University

11%

Computer Software Company

10%

Financial Services Firm

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

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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Compared 6% of the time

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Compared 5% of the time

Databricks vs Altair RapidMiner

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Compared 65% of the time

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Product Reports

Buyer's Guide

Altair RapidMiner

January 2026

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

December 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, SAP, Altair and others in Predictive Analytics. Updated: December 2025.

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