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 9.0, and holds a 13.3% 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

5,164 Views
2,375 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

October 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

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

"I would recommend IBM SPSS Modeler for people who need to do statistical analysis of this type."

"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."

"We have a local representative who specializes in SPSS. He will help us do the PoC."

"IBM SPSS Modeler is the easiest solution."

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

"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."

"It is a pretty stable solution, the end-users and other people with hands-on experience are very happy with this tool, it has not let us down in the past, and we have not really experienced any downtime."

More IBM SPSS Modeler pros

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

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

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

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

Cons

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

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint."

"Requires more development."

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

"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."

"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."

"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."

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

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."

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

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

Pricing and Cost Advice

"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."

"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."

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

"It is a huge increase to time savings."

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

"$5,000 annually."

"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."

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 needs improvement with IBM SPSS Modeler?

See all answers

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...

See all answers

What advice do you have for others considering IBM SPSS Modeler?

You should put MATLAB into your database. According to Gartner, from what I have seen last year, there was a Gartner four quadrants perspective, and MATLAB was in a very good position. I remember a...

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Compared 24% of the time

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Compared 14% of the time

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Compared 11% of the time

Teradata vs Teradata Analytics [EOL]

Compared 10% of the time

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Product Reports

Buyer's Guide

IBM SPSS Modeler

October 2026

Download IBM SPSS Modeler product report

Buyer's Guide

BI (Business Intelligence) Tools

October 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

Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2026.

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