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IBM SPSS Statistics vs IBM Smart Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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 Smart Analytics
Ranking in Data Mining
9th
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
IBM SPSS Statistics
Ranking in Data Mining
2nd
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
40
Ranking in other categories
Data Science Platforms (10th), AI Data Analysis (12th), AI Research (2nd)
 

Mindshare comparison

As of March 2026, in the Data Mining category, the mindshare of IBM Smart Analytics is 2.8%, up from 0.8% compared to the previous year. The mindshare of IBM SPSS Statistics is 18.3%, up from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM SPSS Statistics18.3%
IBM Smart Analytics2.8%
Other78.9%
Data Mining
 

Featured Reviews

RH
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points. The visual presentation layer of LA is less than cutting edge.
The IBM monitoring software products (Tivoli) are not easy to instrument and require many separate pieces of the total framework to be operationally functional and useable. That said, adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points for unstructured search & query. My team had a special need to implement custom alerting on 10s of thousands of MQ channels in a short amount of time, and the traditional approach (also w a Tivoli product) would have been very costly (labor) and time consuming (requiring individual app review). As an alternative, we had a new event stream create to track all MQ channels to generate logs and then used LA to visualize the behavior trends for review, reporting and eventually alerting. The effort took longer than I hoped ~6 months, but the traditional approach would have taken 2+ yrs to review and implement app by app.
EzzAbdelfattah - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Log Analytics (LA) allows a user to see patterns of behavior and isolate issues quickly, without the need to manually access individual systems and parse logs manually."
"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."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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 offers very good visualization."
"Who needs to spend thousands on a license for halfway decent software when R and Python work for free?"
"It is perfectly adequate if all you need are the results and not the trail of evidence."
"SPSS is quite robust and quicker in terms of providing you the output."
"The most valuable feature is the user interface because you don't need to write code."
 

Cons

"The indexing engine (proprietary build of LogStash) is well... very LogStash'ish... It requires more work to normalize the log feeds than competing products."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"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."
"IBM SPSS Statistics is mostly working with structured data. However, if you are having unstructured data, IBM SPSS Statistics is not able up to now to work with it."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"IBM SPSS Statistics does not keep you close to your data like KNIME."
"Perhaps in terms of visualization, it's not really easy to do some data visualization, just simple, descriptive analysis in SPSS."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
 

Pricing and Cost Advice

Information not available
"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."
"More affordable training for new staff members."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"It's quite expensive, but they do a special deal for universities."
"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."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Manufacturing Company
8%
Computer Software Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise20
 

Questions from the Community

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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 ...
What needs improvement with IBM SPSS Statistics?
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 tre...
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...
 

Also Known As

Smart Analytics
SPSS Statistics
 

Overview

 

Sample Customers

WIdO AOK, EEKA Fashion, SSGC, GS Retail
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
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: February 2026.
884,873 professionals have used our research since 2012.