IBM SPSS Modeler vs RapidMiner comparison

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IBM SPSS Modeler

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and RapidMiner are competing tools in predictive analytics and data mining, with RapidMiner having an advantage in cost-effective features, appealing to organizations with comprehensive analytics needs without high expenses.

Features: IBM SPSS Modeler offers advanced statistical techniques, decision trees, and neural networks for modeling. RapidMiner provides strong point-and-click data science features, a vast algorithm library, and seamless integration with numerous data sources. RapidMiner distinguishes itself with ease of use and extensive community support.

Room for Improvement: IBM SPSS Modeler could enhance integration with non-traditional statistical tools and improve its visual modeling capabilities. Usability for less experienced users might also be refined. RapidMiner could improve in processing extremely large datasets, enhance advanced customization capabilities for expert users, and develop more advanced data visualization features.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers a structured deployment model and reliable customer support, emphasizing deep integration with enterprise systems. RapidMiner features flexible deployment options, including cloud-based services, known for quicker and smoother implementations, favored by businesses seeking speed and flexibility.

Pricing and ROI: IBM SPSS Modeler involves higher initial costs due to its depth in statistical capabilities, with long-term ROI reflecting its premium services. RapidMiner offers cost-effective tiers and open-source versions, delivering attractive ROI through lower initial costs, appealing to budget-conscious organizations.

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

IBM SPSS Modeler vs. RapidMiner

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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

IBM SPSS Modeler

Ranking in Data Science Platforms

13th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

RapidMiner

Ranking in Data Science Platforms

6th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (3rd)

Mindshare comparison

As of January 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 2.3%, down from 2.8% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

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.

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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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Quotes from Members

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

Pros

"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"Some basic form of feature engineering for classification models. This really quickens the model development process."

"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"It is a great product for running statistical analysis."

"Automation is great and this product is very organized."

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

More IBM SPSS Modeler pros

"RapidMiner is very easy to use."

"The best part of RapidMiner is efficiency."

"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."

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

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

"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."

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

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

More RapidMiner pros

Cons

"The time series should be improved."

"It's not as user friendly as it could be."

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

"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."

"The product does not have a search function for tags."

"The platform's cloud version needs improvements."

"I would like see more programming languages added, like MATLAB. That would be better."

"C&DS will not meet our scalability needs."

More IBM SPSS Modeler cons

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

"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."

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

"The price of this solution should be improved."

"Improve the online data services."

"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."

"The product must provide data-cleaning features."

More RapidMiner cons

Pricing and Cost Advice

"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."

"It is an expensive product."

"$5,000 annually."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"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."

"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."

"It is a huge increase to time savings."

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

More IBM SPSS Modeler pricing and cost advice

"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."

"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."

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Top Industries

By visitors reading reviews

Educational Organization

13%

Financial Services Firm

13%

Computer Software Company

University

12%

Computer Software Company

10%

Financial Services Firm

10%

Educational Organization

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Modeler?

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

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...

What needs improvement with IBM SPSS Modeler?

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...

What is your experience regarding pricing and costs for RapidMiner?

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.

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

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Product Reports

IBM SPSS Modeler

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Also Known As

SPSS Modeler

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IBM

Overview

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

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Sample Customers

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

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

IBM SPSS Modeler vs. RapidMiner