IBM SPSS Modeler vs Teradata Analytics [EOL] comparison

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 15.5% 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

4,191 Views
1,970 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

July 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

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

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

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

"Automated modelling, classification, or clustering are very useful."

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

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

"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."

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

More IBM SPSS Modeler pros

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

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

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

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

Cons

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"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."

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

"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."

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

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

"Setup is a little problematic for desktop. A nightmare for server."

"The standard package (personal) is not supported for database connection."

More IBM SPSS Modeler cons

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

"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."

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

Pricing and Cost Advice

"It is a huge increase to time savings."

"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 an expensive product."

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

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

"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."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Government

Construction Company

Outsourcing 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 4% of the time

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Compared 40% of the time

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Compared 35% of the time

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Product Reports

Buyer's Guide

IBM SPSS Modeler

July 2026

Download IBM SPSS Modeler product report

Buyer's Guide

BI (Business Intelligence) Tools

August 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

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