IBM SPSS Statistics vs Teradata Analytics [EOL] comparison

The compared IBM and Teradata solutions aren't in the same category. IBM is ranked #1 in DM , with an average rating of 8.8, and holds a 15.6% 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

6,064 Views
2,062 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 IBM, Knime, Weka and others in Data Mining.

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

Buyer's Guide

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 Statistics

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (1st), Data Science Platforms (8th), AI Data Analysis (14th), AI Research (6th)

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

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."

"SPSS is perfectly adequate if all you want are some results."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"IBM SPSS Statistics is a very easy tool to use, and anyone can use it once they have guidance."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

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

"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."

More IBM SPSS Statistics pros

"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)."

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

Cons

"The statistics should be more self-explanatory with detailed automated reports."

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

"Some of the versions have issues. It is not always made public that a “fix” is available."

"In some cases, the product takes time to load a large dataset. They could improve this particular area."

"The output of charts and graphs that SPSS produces is hideous."

"The reports could be better."

"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."

"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

"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."

Pricing and Cost Advice

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

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

"More affordable training for new staff members."

"The price of IBM SPSS Statistics could improve."

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

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

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	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

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 26% of the time

Databricks vs IBM SPSS Statistics

Compared 9% of the time

Altair RapidMiner vs IBM SPSS Statistics

Compared 4% of the time

KNIME Business Hub 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 33% of the time

IBM SPSS Modeler vs Teradata Analytics [EOL]

Compared 21% of the time

SAS Visual Analytics vs Teradata Analytics [EOL]

Compared 17% of the time

More Teradata Analytics [EOL] Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

July 2026

Download IBM SPSS Statistics product report

Buyer's Guide

BI (Business Intelligence) Tools

August 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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