IBM SPSS Statistics vs Weka comparison

IBM and Weka are both solutions in the Data Mining category. IBM is ranked #2 with an average rating of 8.8, while Weka is ranked #4. IBM holds a 18.3% mindshare in DM, compared to Weka’s 8.8% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

3,548 Views
1,597 Comparison Views

89% willing to recommend

Weka

Read 15 Weka reviews

1,553 Views
1,336 Comparison Views

78% willing to recommend

IBM SPSS Statistics

Weka

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Executive SummaryUpdated on May 21, 2025

IBM SPSS Statistics and Weka compete in the data analysis domain. While SPSS has an edge in statistical analysis, Weka shines in data mining and machine learning with its user-friendly interface and algorithm integration.

Features: IBM SPSS provides comprehensive statistical functions, supporting large datasets and complex statistical tests such as ANOVA and regression analysis. It is well-suited for high-accuracy quantitative analysis. Weka offers a variety of machine learning algorithms and does not require programming skills, making it appealing for beginners. It provides seamless integration of new algorithms, ideal for rapid testing and classification tasks.

Room for Improvement: IBM SPSS is costlier and could enhance data visualization and integration with big data tools. Users suggest improvements in data preparation automation and better guides for statistical methods. Weka could improve its scalability and performance in handling large datasets. Enhancements in documentation and visualization options are also recommended to improve the user experience.

Ease of Deployment and Customer Service: Both products support on-premises deployment, with IBM SPSS also available in the cloud. IBM's customer service receives positive feedback but some users report delays. Weka relies mainly on community support due to its open-source nature.

Pricing and ROI: IBM SPSS is considered expensive with various licensing levels and special deals for educational institutions. Its comprehensive service is seen as worth the investment, yielding significant ROI for some users. Weka, being free and open-source, appeals to organizations with budget constraints but the choice often depends on advanced feature requirements.

To learn more, read our detailed IBM SPSS Statistics vs. Weka Report (Updated: March 2026).

Buyer's Guide

IBM SPSS Statistics vs. Weka

March 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

Ranking in Data Mining

2nd

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (10th), AI Data Analysis (12th), AI Research (2nd)

Weka

Ranking in Data Mining

4th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of March 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 18.3%, up from 16.5% compared to the previous year. The mindshare of Weka is 8.8%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Statistics	18.3%
Weka	8.8%
Other	72.9%

Data Mining

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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AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

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.

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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

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

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

"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."

"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."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

"The most valuable feature is its robust statistical analysis capabilities."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

More IBM SPSS Statistics pros

"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."

"It doesn’t cost anything to use the product."

"Weka is a very easy to use Data Mining solution, great for learning and for doing small experiments before exploring the data deeper, with a large number and diversity of algorithms that make it an excellent solution for rapid testing."

"It is a stable product."

"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."

"The interface is very good, and the algorithms are the very best."

"Weka eliminates the need for coding, allowing you to easily set parameters and complete the majority of the machine learning task with just a few clicks."

More Weka pros

Cons

"It breaks under the weight of a moderate amount of data."

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

"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."

"The solution needs more planning tools and capabilities."

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

"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."

"The technical support should be improved."

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

More IBM SPSS Statistics cons

"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."

"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."

"A few people said it became slow after a while."

"If you have one missing value in your dataset and this missing value belongs to a specific attribute and the attribute is a numeric attribute and there is only one missing data, whenever you import this data, the problem is that Weka cannot understand that this is a numeric field. It converts everything into a string, and there is no way to convert the string into numerical math. It's really very complicated."

"If there are a lot more lines of code, then we should use another language."

"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."

"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."

"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."

More Weka cons

Pricing and Cost Advice

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

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

"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."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"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."

"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

"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."

"We use the free version now. My faculty is very small."

"The solution is free and open-source."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

University

Educational Organization

17%

University

13%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

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?

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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...

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Comparisons

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Compared 38% of the time

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Compared 5% of the time

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Compared 4% of the time

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Compared 4% of the time

Anaconda Business vs IBM SPSS Statistics

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Compared 30% of the time

IBM SPSS Modeler vs Weka

Compared 11% of the time

DataRPM vs Weka

Compared 10% of the time

Elastic Search vs Weka

Compared 7% of the time

SAS Enterprise Miner vs Weka

Compared 6% of the time

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Product Reports

Buyer's Guide

IBM SPSS Statistics

March 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Weka

February 2026

Download Weka product report

Also Known As

SPSS Statistics

No data available

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "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 in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

IBM

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka

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

Buyer's Guide

IBM SPSS Statistics vs. Weka

March 2026

Free Report: IBM SPSS Statistics vs. Weka

Find out what your peers are saying about IBM SPSS Statistics vs. Weka and other solutions. Updated: March 2026.

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