IBM SPSS Statistics vs Teradata Analytics [EOL] comparison

The compared IBM and Teradata solutions aren't in the same category. IBM is ranked #2 in DM , with an average rating of 9.0, and holds a 16.8% mindshare in the category. Additionally, 89% of IBM users are willing to recommend the solution, compared to 50% of Teradata users who would recommend it.

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

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1,858 Comparison Views

89% willing to recommend

Teradata Analytics [EOL]

Read 2 Teradata Analytics [EOL] reviews

50% willing to recommend

IBM SPSS Statistics

Teradata Analytics [EOL]

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.

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Buyer's Guide

Data Mining

May 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 Statistics

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Mining (2nd), Data Science Platforms (11th), AI Data Analysis (16th), AI Research (5th)

Teradata Analytics [EOL]

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

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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

"I think in the future this kind of algorithm will be used widely by people to predict many things and to improve the performance of businesses and individuals."

"Who needs to spend thousands on a license for halfway decent software when R and Python work for free?"

"in terms of the simplicity, I think the SPSS basic can handle it."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

"The biggest benefit of the IBM SPSS Statistics tool for my customers and me is that it's very old, meaning they have more experience; when the tool was first released, we had customer service that created surveys with the customers asking which way they wanted to go, what they would see within the tool, and what would be helpful—IBM basically created the tool according to this knowledge."

"I can recommend it, as it's a good, stable solution with a proven track record."

More IBM SPSS Statistics pros

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

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

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

"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)."

Cons

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"Perhaps in terms of visualization, it's not really easy to do some data visualization, just simple, descriptive analysis in SPSS."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."

"The reports could be better."

"There is a learning curve; it's not very steep, but there is one."

"I don't believe this solution would be the best for companies that need to scale."

"I recently moved away from SPSS and started using KNIME since it is particularly easier for students."

More IBM SPSS Statistics cons

"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."

"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 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."

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"More affordable training for new staff members."

"I rate the tool's pricing a five out of ten."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"The price of this solution is a little bit high, which was a problem for my company."

"It's quite expensive, but they do a special deal for universities."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

No data available

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Statistics?

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

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What needs improvement with IBM SPSS Statistics?

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What is your primary use case for IBM SPSS Statistics?

I do use IBM SPSS Statistics, and even my students are using it for their projects and reports while working on PhD or Master's degrees. They are analyzing data using it. In comparison with other s...

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Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 31% of the time

Databricks vs IBM SPSS Statistics

Compared 6% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Altair RapidMiner vs IBM SPSS Statistics

Compared 4% of the time

Julius AI vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

Meraki Location Analytics vs Teradata Analytics [EOL]

Compared 58% of the time

More Teradata Analytics [EOL] Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

April 2026

Download IBM SPSS Statistics product report

Buyer's Guide

BI (Business Intelligence) Tools

April 2026

Download Teradata Analytics [EOL] product report

Also Known As

SPSS Statistics

Teradata Aster Analytics, Aster Analytics

Overview

IBM SPSS Statistics is renowned for its intuitive interface and robust statistical capabilities. It efficiently handles large datasets, making it essential for data analysis, quantitative research, and business decision-making.

IBM SPSS Statistics offers extensive functionality supporting both beginners and experts. It is used for data analysis across industries, accommodating advanced statistical modeling such as regression, clustering, ANOVA, and decision trees. Users benefit from its quick model building and ease of use, which are indispensable in data exploration and decision-making. Room for improvement includes charting, visualization, data preparation, AI integration, automation, multivariate analysis, and unstructured data handling. Enhancements in importing/exporting features, cost efficiency, interface improvements, and user-friendly documentation are sought after by users looking for alignment with modern data science practices.

What are IBM SPSS Statistics' most notable features?

Intuitive Interface: Simplifies navigation for both beginners and experts.
Predictive Analytics: Advanced modeling capabilities for future trends.
Robust Statistical Functions: Includes regression, clustering, ANOVA, and decision trees.
Large Dataset Handling: Efficiently manages complex and sizable data.
Customizable Tables: Users can create tailored reports and exports.

What benefits and ROI do users report in reviews?

Ease of Use: Streamlined processes for rapid analysis.
Advanced Functionality: Comprehensive tools for diverse research needs.
Quick Model Building: Speeds up predictive and statistical analysis.
Versatile Application: Suitable for academic, business, and social science research.

IBM SPSS Statistics is implemented broadly, including academic research for in-depth studies, business analytics for informed decision making, and in the social sciences for comprehensive data exploration. Organizations utilize its advanced features like AI integration and automated modeling across sectors to gain actionable insights, streamline data processes, and support research initiatives.

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

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

Information Not Available

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