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 16.2% 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

5,219 Views
1,879 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

Download the report

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.

To learn more, read our detailed Data Mining Report (Updated: June 2026).

Buyer's Guide

Data Mining

June 2026

Download the complete report

Helped 900,644 peers since 2012

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 (11th), AI Data Analysis (20th), AI Research (7th)

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.

Read full review

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.…

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

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

"The SPSS interface is very accessible and user-friendly; it's really easy to get information in it, and I've shared it with experts and beginners, and everyone can navigate it."

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

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

"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."

"It offers very good visualization."

"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."

"It has the ability to easily change any variable in our research."

More IBM SPSS Statistics pros

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

"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

"This solution is not suitable for use with Big Data."

"I think there is an issue with the charting and visualization, and I don't think it works as well as the competitive product."

"Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use."

"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."

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

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"The technical support is not very useful. You can find help on the internet but if you really have a problem then it can take a while before you get a solution."

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

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

"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."

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

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"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."

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

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

"More affordable training for new staff members."

More IBM SPSS Statistics pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

900,644 professionals have used our research since 2012.

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	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 ...

See all answers

What needs improvement with IBM SPSS Statistics?

See all answers

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...

See all answers

Ask a question

Earn 20 points

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 27% of the time

Databricks vs IBM SPSS Statistics

Compared 8% 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

Alteryx vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

Meraki Location Analytics vs Teradata Analytics [EOL]

Compared 44% of the time

IBM SPSS Modeler vs Teradata Analytics [EOL]

Compared 23% of the time

More Teradata Analytics [EOL] Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

June 2026

Download IBM SPSS Statistics product report

Buyer's Guide

BI (Business Intelligence) Tools

May 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

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

DOWNLOAD NOW

900,644 professionals have used our research since 2012.

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.