IBM SPSS Modeler vs TIBCO Data Science comparison

IBM and TIBCO are both solutions in the Data Science Platforms category. IBM is ranked #12 with an average rating of 8.0, while TIBCO is ranked #25. IBM holds a 3.5% mindshare in Data Science Platforms, compared to TIBCO’s 1.4% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,695 Views
1,967 Comparison Views

86% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

720 Views
713 Comparison Views

100% willing to recommend

IBM SPSS Modeler

TIBCO Data Science

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and TIBCO Data Science offer data analysis and predictive modeling solutions, competing in the analytics market. TIBCO Data Science offers a more extensive feature set, capturing the interest of data scientists with its advanced capabilities, potentially giving it an edge over IBM SPSS Modeler.

Features: IBM SPSS Modeler's user-friendly interface caters to both statistical and predictive analysis, offering robust machine learning algorithm support and smooth system integration. TIBCO Data Science stands out with advanced analytics, comprehensive data visualization options, and its proficiency in managing intricate data workflows, making it appropriate for complex projects.

Room for Improvement: IBM SPSS Modeler could benefit from enhanced data visualization capabilities and more extensive integration with other analytics tools. Its governance and security features could also be broadened. TIBCO Data Science may improve on simplifying its interface for new users, enhancing ease of use without compromising its robust functionality and expanding its real-time data processing abilities.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers seamless integration and quick deployment, often providing prompt support resolution ideal for existing workflows. TIBCO Data Science provides flexible deployment options and effective customer service, suitable for complex environments requiring comprehensive support.

Pricing and ROI: IBM SPSS Modeler generally offers a lower setup cost and faster ROI for businesses focused on standard predictive analytics, appealing to those with budget constraints. TIBCO Data Science may require a larger initial investment but offers substantial long-term benefits in complex analytics scenarios.

To learn more, read our detailed IBM SPSS Modeler vs. TIBCO Data Science Report (Updated: December 2025).

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

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

IBM SPSS Modeler

Ranking in Data Science Platforms

12th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 3.5%, up from 2.3% compared to the previous year. The mindshare of TIBCO Data Science is 1.4%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	3.5%
TIBCO Data Science	1.4%
Other	95.1%

Data Science Platforms

Featured Reviews

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

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 solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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JacekSierajewski

Tibco Spotfire Expert (contractor via Amaris) at GSK

Good performance, reporting, and data visualization

The two similar solutions that I have used are MicroStrategy and Tableau. Tableau is pretty similar and it would be difficult for me to point out the differences. With MicroStrategy, it has a great feature where you build the representation in the database and it then the tool creates SQL queries by itself. There are more differences between these tools but this is the one essential difference.

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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

"I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data."

"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."

"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."

"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."

"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"

"The supervised models are valuable. It is also very organized and easy to use."

"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."

"Very good data aggregation."

More IBM SPSS Modeler pros

"The most valuable feature is the performance."

"The most valuable feature is the ease of setting up visualizations."

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The idea that you don't have to generate reports each day but they are sent automatically is great."

Cons

"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."

"Customer support is hard to contact."

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

"It is not integrated with Qlik, Tableau, and Power BI."

"Requires more development."

"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

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

More IBM SPSS Modeler cons

"The scripting for customization could be improved."

"I would like the visualization for the map of countries to be more easily configurable."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

Pricing and Cost Advice

"It is an expensive product."

"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."

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

"It is a huge increase to time savings."

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

"It got us a good amount of money with quick and efficient modeling."

"$5,000 annually."

"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

Government

12%

Financial Services Firm

11%

University

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

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...

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What needs improvement with IBM SPSS Modeler?

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What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

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Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

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Buyer's Guide

Data Science Platforms

February 2026

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Also Known As

SPSS Modeler

Alpine Data Chorus

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

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

IBM

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

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

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

December 2025

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