IBM SPSS Modeler vs Teradata Analytics [EOL] comparison

Why PeerSpot?

The compared IBM and Teradata solutions aren't in the same category. IBM is ranked #3 in DM , with an average rating of 8.0, and holds a 14.9% mindshare in the category. Additionally, 86% of IBM users are willing to recommend the solution, compared to 50% of Teradata users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

4,530 Views
2,084 Comparison Views

86% willing to recommend

Teradata Analytics [EOL]

Read 2 Teradata Analytics [EOL] reviews

50% willing to recommend

IBM SPSS Modeler

Teradata Analytics [EOL]

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM SPSS Modeler and Teradata Analytics [EOL] based on real PeerSpot user reviews.

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Data Mining

September 2026

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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

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd), Data Science Platforms (13th)

Teradata Analytics [EOL]

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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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it_user874128

Principal Data Scientist at a comms service provider with 10,001+ employees

Runs complete data sets with no sampling, but we have struggled with uptime

I use Aster Analytics in our Marketing group for analyzing customer interactions and paths that lead to churn. We have a system with 50 hosts and 1680 CPUs All of our marketing data is in one place. Every analysis uses straightforward PostgreSQL. Speed is good now that we’ve upgraded hosts.…

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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

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

"The quality is very good."

"The main benefit is it makes things a little easier to do."

"SPSS Modeler is a friendly interface for a beginner user."

"I used it mostly for the PCA, the principal component analysis, and I have been using that for my bachelor's thesis."

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

"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."

"Quickness and ease of use with the guarantee of robust modeling techniques and trustworthy accuracy."

More IBM SPSS Modeler pros

"It allowed for the rapid development of a solution delivered to the client, showing, for the specific use-case he had, monitoring defects."

"Provides ease of formulating a solution based on SQL-like queries."

"nPath has made journey/path analysis much easier."

"It has been fantastic for running complete data sets (no sampling required)."

Cons

"I think mapping for geographic data would also be a really great thing to be able to use."

"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."

"Unstructured data is not appropriate for SPSS Modeler."

"Dimension reduction should be classified separately."

"The platform's cloud version needs improvements."

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

"Initial setup of the software was complex, because of our own problems within the government."

"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

"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."

"We have struggled with uptime. Some of the features need to be updated."

"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."

Pricing and Cost Advice

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

"It is a huge increase to time savings."

"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."

"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."

"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."

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

"$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."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

Financial Services Firm

Government

Construction 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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Compared 10% of the time

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Compared 9% of the time

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Product Reports

Buyer's Guide

IBM SPSS Modeler

September 2026

Download IBM SPSS Modeler product report

Buyer's Guide

BI (Business Intelligence) Tools

September 2026

Download Teradata Analytics [EOL] product report

Also Known As

SPSS Modeler

Teradata Aster Analytics, Aster Analytics

Overview

IBM SPSS Modeler is a robust tool that facilitates predictive modeling and data analysis through intuitive visual programming and customizable automation, enabling users to streamline data analytics processes with effectiveness.

IBM SPSS Modeler combines ease of use with powerful functionalities, including statistical analysis and quick prototyping. Users can leverage visual programming and drag-and-drop features, making data exploration efficient. Its diverse algorithms and capability to handle large datasets enable comprehensive data cleansing and predictive modeling. Integrating smoothly with Python enhances its versatility. However, improvements in machine learning algorithms, platform compatibility, and visualization tools are necessary. Licensing costs and existing performance issues may require consideration, particularly concerning data extraction and interface convenience.

What are the critical features of IBM SPSS Modeler?

Ease of Use: Features intuitive visual programming, facilitating smooth operation.
Customizable Automation: Supports personalized automation processes.
Visual Programming: Employs drag-and-drop interfaces for efficient task execution.
Integration with Python: Enhances flexibility with Python compatibility.
Diverse Algorithms: Supports a wide range of algorithms for data analysis.
Data Cleansing and Modeling: Enables rigorous data cleansing and predictive modeling.

What benefits or ROI should users consider?

Enhanced Productivity: Streamlined processes improve efficiency.
Flexible Integration: Accommodates R and Python, boosting adaptability.
Scalable Analytics: Capably handles large datasets and complex models.
Quick Prototyping: Facilitates rapid model development.
Improved Insights: Delivers profound analytical insights for decision-making.

IBM SPSS Modeler is implemented across various industries for diverse applications, including data analytics, predictive modeling, and HR analytics. Organizations utilize it to build models for customer segmentation and predictive analysis, leveraging its capabilities for large datasets, research, and educational purposes. It integrates efficiently with cloud and on-premise solutions, enhancing business analytics applications.

IBM

Teradata Aster® Analytics Portfolio provides a suite of ready-to-use, multi-genre advanced analytics functions that empowers business users to uncover and operationalize non-intuitive insights. Teradata Aster Analytics includes the Aster Database, Aster Client and the Aster Portfolio that consists of SQL, SQL-MapReduce and Graph functions for multi-genre advanced analytics. These functions provide everything from data acquisition and preparation to analytic modeling and visualization.

Teradata

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

Information Not Available

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We monitor all Data Mining 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.