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 #16 with an average rating of 7.5. Altair holds a 7.0% mindshare in Data Science Platforms, compared to IBM’s 3.5% 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

4,556 Views
3,964 Comparison Views

96% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,258 Views
1,558 Comparison Views

86% willing to recommend

Altair RapidMiner

IBM SPSS Modeler

Comparison Buyer's Guide

Download the report

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: September 2025).

Buyer's Guide

Altair RapidMiner vs. IBM SPSS Modeler

September 2025

Download the complete report

Helped 872,655 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 (3rd)

IBM SPSS Modeler

Ranking in Data Science Platforms

16th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.0%, down from 7.5% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.5%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	7.0%
IBM SPSS Modeler	3.5%
Other	89.5%

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.

Read full review

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

"The solution is very intuitive and powerful."

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

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"I've been using a lot of components from the Strategic Extension and Python Extension."

"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."

"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."

"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."

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

More Altair RapidMiner pros

"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

"It will scale up to anything we need."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"It's a very organized product. It's easy to use."

"The visual modeling capability is one of its attractive features."

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

More IBM SPSS Modeler pros

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."

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

"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."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"In the Mexican or Latin American market, it's kind of pricey."

"The price of this solution should be improved."

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

"Improve the online data services."

More Altair RapidMiner cons

"Customer support is hard to contact."

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."

"Unstructured data is not appropriate for SPSS Modeler."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."

More IBM SPSS Modeler cons

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."

"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."

"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."

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

"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."

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

"It is an expensive product."

"$5,000 annually."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"It is a huge increase to time savings."

More IBM SPSS Modeler pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

872,655 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Manufacturing Company

10%

Educational Organization

Financial Services Firm

12%

Government

11%

Educational Organization

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

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?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a ...

See all answers

Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 47% of the time

Dataiku vs Altair RapidMiner

Compared 14% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Databricks vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 50% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 13% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 10% of the time

Alteryx vs IBM SPSS Modeler

Compared 4% 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

October 2025

Download Altair RapidMiner product report

Buyer's Guide

IBM SPSS Modeler

October 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

September 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: September 2025.

DOWNLOAD NOW

872,655 professionals have used our research since 2012.

See our Altair RapidMiner vs. IBM SPSS Modeler report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.