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IBM SPSS Statistics vs Weka comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

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
Ranking in Data Mining
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
39
Ranking in other categories
Data Science Platforms (8th)
Weka
Ranking in Data Mining
2nd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
14
Ranking in other categories
Anomaly Detection Tools (4th)
 

Mindshare comparison

As of July 2025, in the Data Mining category, the mindshare of IBM SPSS Statistics is 15.9%, up from 13.4% compared to the previous year. The mindshare of Weka is 17.7%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

Laurence Moseley - PeerSpot reviewer
Delivers reliable results for academic research and keeps you close to your data.
SPSS is perfectly adequate if all you want are some results. If you only need the results, you do not require the trail of evidence on how you obtained those results. I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers; I used it for my papers as well. For wider uses I find Knime keeps me in touch with my data, however much I transform them.
AwaisAnwar - PeerSpot reviewer
Open source, good for basic data mining use cases except for the visualization results
I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

Quotes from Members

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

Pros

"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."
"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."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"It has the ability to easily change any variable in our research."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The most valuable feature is its robust statistical analysis capabilities."
"SPSS is perfectly adequate if all you want are some results."
"Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result."
"There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way."
"The interface is very good, and the algorithms are the very best."
"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"It is a stable product."
"With clustering, if it's a yes, it's a yes, if it's a no, it's a no. It gives you a 100% level of accuracy of a model that has been trained, and that is in most cases, usually misleading. Classification is highly valuable when done as opposed to clustering."
"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."
 

Cons

"It could allow adding color to data models to make them easier to interpret."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"The solution needs to improve forecasting using time series analysis."
"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."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"The statistics should be more self-explanatory with detailed automated reports."
"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."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it."
"The visualization of Weka is subpar and could improve. Machine learning and visualization do not work well together. For example, we want to know how we can we delete empty cells or how can we fill in the empty cells without cleaning the data system and putting it together."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."
"The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable."
 

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."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"I rate the tool's pricing a five out of ten."
"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."
"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."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"The price of this solution is a little bit high, which was a problem for my company."
"We use the free version now. My faculty is very small."
"As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
"Currently, I am using an open-source version so I don't know much about the price of this solution."
"The solution is free and open-source."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
8%
Manufacturing Company
8%
University
8%
University
18%
Educational Organization
17%
Computer Software Company
10%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
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?
I have faced some challenges with IBM SPSS Statistics; you need to know what you're doing because it's not very user-friendly. It's not something a person can come and intuitively work with. The ba...
What is your experience regarding pricing and costs for Weka?
Weka is free and open-source software. That is why I used it over KNIME.
What needs improvement with Weka?
I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding...
 

Also Known As

SPSS Statistics
No data available
 

Overview

 

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
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Find out what your peers are saying about IBM SPSS Statistics vs. Weka and other solutions. Updated: July 2025.
864,053 professionals have used our research since 2012.