Altair RapidMiner vs IBM SPSS Modeler comparison

Altair and IBM are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while IBM is ranked #17 with an average rating of 7.0. Altair holds a 7.7% mindshare in Data Science Platforms, compared to IBM’s 2.5% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

5,302 Views
4,560 Comparison Views

96% willing to recommend

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

2,280 Views
1,528 Comparison Views

86% willing to recommend

Altair RapidMiner

IBM SPSS Modeler

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

IBM SPSS Modeler and Altair RapidMiner are leading competitors in the data science and analytics sector. IBM SPSS Modeler holds an edge with its robust analytics capabilities and easy integration.

Features: IBM SPSS Modeler provides comprehensive data processing and statistical analysis tools, including powerful predictive modeling and time series analysis. Its point-and-drag interface is user-friendly, allowing easy parameter selection and result visualization. Altair RapidMiner excels in machine learning with a variety of proprietary algorithms and features like automated data preparation and modeling, making it ideal for users focused on quick insights and efficient data handling.

Room for Improvement: IBM SPSS Modeler could enhance its cloud capabilities and real-time customer support. Improvements in security governance and visualization capabilities would also be beneficial. Altair RapidMiner could improve by enhancing its generative AI adaptation, extending support for more complex datasets, and boosting its collaborative features for team environments.

Ease of Deployment and Customer Service: Altair RapidMiner facilitates quick deployment with effective cloud solutions, providing flexible access and responsive technical support for customer queries. IBM SPSS Modeler offers seamless integration options, but typically has a sharper learning curve. While its customer service is reliable, it lacks the immediate adaptability seen in Altair RapidMiner.

Pricing and ROI: IBM SPSS Modeler requires a higher initial investment but justifies the cost with its superior analytical capabilities, providing strong ROI for in-depth analysis needs. Altair RapidMiner offers a more economical setup with commendable ROI, balancing cost and performance through its comprehensive analytics platform and quick insight delivery.

To learn more, read our detailed Altair RapidMiner vs. IBM SPSS Modeler Report (Updated: June 2025).

Buyer's Guide

Altair RapidMiner vs. IBM SPSS Modeler

June 2025

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Helped 861,524 peers since 2012

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 Data Science Platforms

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

IBM SPSS Modeler

Ranking in Data Science Platforms

17th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.7%, up from 7.1% compared to the previous year. The mindshare of IBM SPSS Modeler is 2.5%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

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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PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

Read full review

Quotes from Members

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

Pros

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

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

"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"

"RapidMiner is very easy to use."

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

"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."

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

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

More Altair RapidMiner pros

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

"Stability is good."

"We use analytics with the visual modeling capability to leverage productivity improvements."

"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."

"We are using it either for workforce deployment or to improve our operations."

"It works fine. I have not had any stability issues; it is always up."

"We have been able to do some predictive modeling with it"

"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."

More IBM SPSS Modeler pros

Cons

"I would like to see more integration capabilities."

"The product must provide data-cleaning features."

"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."

"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."

"The price of this solution should be improved."

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

More Altair RapidMiner cons

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"Unstructured data is not appropriate for SPSS Modeler."

"There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database."

"Dimension reduction should be classified separately."

"Expensive to deploy solutions. You need to buy an extra deployment unit."

"The challenge for the very technical data scientists: It is constraining for them."

"It would be good if IBM added help resources to the interface."

"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."

More IBM SPSS Modeler cons

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."

"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."

"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."

"$5,000 annually."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"This tool, being an IBM product, is pretty expensive."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"It is an expensive product."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

11%

University

10%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

12%

Educational Organization

11%

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

See all answers

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...

See all answers

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

Comparisons

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Alteryx vs Altair RapidMiner

Compared 7% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

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Compared 25% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 22% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

July 2025

Download Altair RapidMiner product report

Buyer's Guide

IBM SPSS Modeler

July 2025

Download IBM SPSS Modeler product report

Also Known As

No data available

SPSS Modeler

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

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Buyer's Guide

Altair RapidMiner vs. IBM SPSS Modeler

June 2025

Free Report: Altair RapidMiner vs. IBM SPSS Modeler

Find out what your peers are saying about Altair RapidMiner vs. IBM SPSS Modeler and other solutions. Updated: June 2025.

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