IBM SPSS Statistics vs Teradata Analytics [EOL] comparison

Why PeerSpot?

The compared IBM and Teradata solutions aren't in the same category. IBM is ranked #2 in DM , with an average rating of 8.8, and holds a 13.1% 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 41 IBM SPSS Statistics reviews

7,780 Views
2,490 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.

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Buyer's Guide

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 Statistics

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (2nd), Data Science Platforms (10th), AI Data Analysis (23rd), AI Research (8th)

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

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."

"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."

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."

"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 absolutely like the product, and that's the reason I recommend all of my students buy SPSS."

"The most valuable feature is the user interface because you don't need to write code."

More IBM SPSS Statistics pros

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

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

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

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

Cons

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

"The reports could be better."

"The solution needs more planning tools and capabilities."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"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."

"The technical support should be improved."

More IBM SPSS Statistics 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

"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 IBM SPSS Statistics could improve."

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

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

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

"More affordable training for new staff members."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

More IBM SPSS Statistics pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

University

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	7
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?

One of the frustrations I have with IBM SPSS Statistics is the licensing, which is more of a company issue because we have limited licenses and have to ask someone to get off IBM SPSS Statistics so...

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What is your primary use case for IBM SPSS Statistics?

My main use case for IBM SPSS Statistics involves data cleaning and tabulation. I also use it sometimes for data validation. I use IBM SPSS Statistics to perform correlations, check data, remove re...

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Comparisons

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Compared 11% of the time

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Compared 5% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

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Compared 26% of the time

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Compared 15% of the time

Meraki Location Analytics vs Teradata Analytics [EOL]

Compared 14% of the time

SAS Enterprise Miner vs Teradata Analytics [EOL]

Compared 11% of the time

Teradata vs Teradata Analytics [EOL]

Compared 10% of the time

More Teradata Analytics [EOL] Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

October 2026

Download IBM SPSS Statistics product report

Buyer's Guide

BI (Business Intelligence) Tools

October 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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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.