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 #12. Altair holds a 14.9% mindshare in PA, compared to IBM’s 1.2% 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

777 Views
587 Comparison Views

96% willing to recommend

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

83 Views
28 Comparison Views

100% willing to recommend

Altair RapidMiner

IBM Predictive Analytics

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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: May 2025).

Buyer's Guide

Predictive Analytics

May 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

12th

Average Rating

7.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 14.9%, down from 18.8% compared to the previous year. The mindshare of IBM Predictive Analytics is 1.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

Gopi Manoj Vuyyuru

Technical Support Team Lead at HCLTech

An open-source software tool for data and text mining with an excellent built-in data tuning feature for achieving better accuracy

I would advise new users to remember that RapidMiner requires building your pipeline. You need to start from scratch, which includes loading the data, cleaning it, making visualizations, and training the model and is not fully automated. I wouldn't thoroughly recommend it if you don't have working knowledge. There are some support articles and built-in hints, but platforms like DataRobot, which are fully automated, might be better for you if you're starting. Learning RapidMiner as a beginner is straightforward. You need to understand how a model works, know the different stages involved in modelling, and the importance of cleaning data. RapidMiner has a learning platform where you can learn the basic modules and how things work. They also offer certifications if you complete courses and exams. It's a good option for beginners to thoroughly learn about different models and the modelling stages. Overall, I would rate it an eight out of ten.

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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 documentation for this solution is very good, where each operator is explained with how to use it."

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

"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."

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

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

"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"The solution is very intuitive and powerful."

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

More Altair RapidMiner pros

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

Cons

"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."

"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."

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

"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."

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

"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."

"I think that they should make deep learning models easier."

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."

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

"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."

"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

University

11%

Computer Software Company

11%

Educational Organization

Financial Services Firm

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 vs Altair RapidMiner

Compared 51% of the time

Dataiku vs Altair RapidMiner

Compared 16% of the time

Tableau vs Altair RapidMiner

Compared 7% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

No data available

Product Reports

Buyer's Guide

Altair RapidMiner

June 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

May 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: May 2025.

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