IBM SPSS Modeler vs Weka comparison

IBM and Weka are both solutions in the Data Mining category. IBM is ranked #3 with an average rating of 8.0, while Weka is ranked #4. IBM holds a 19.1% mindshare in DM, compared to Weka’s 9.3% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,695 Views
1,321 Comparison Views

86% willing to recommend

Weka

Read 14 Weka reviews

1,550 Views
1,364 Comparison Views

78% willing to recommend

IBM SPSS Modeler

Weka

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on May 21, 2025

IBM SPSS Modeler and Weka are both key players in the data analysis and machine learning sector. IBM SPSS Modeler stands out with its strong enterprise integration and support, whereas Weka is favored for its open-source accessibility and comprehensive algorithm library.

Features: IBM SPSS Modeler provides advanced predictive analytics, easy integration with enterprise systems, and strong visualization tools. Weka offers a wide array of machine learning algorithms, open-source access, and flexibility in algorithm implementation.

Room for Improvement: IBM SPSS Modeler could improve by enhancing open-source collaboration, reducing costs, and increasing algorithm diversity. Weka might benefit from richer visualization capabilities, professional customer support, and improved large-scale data handling.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers professional deployment services with dedicated customer support, ideal for enterprise-level needs. Weka is straightforward to install with community-backed support, catering to users valuing self-reliance and flexibility.

Pricing and ROI: IBM SPSS Modeler has higher initial costs but potentially greater ROI for businesses demanding extensive analytics and enterprise features. Weka is cost-effective with zero-cost setup, attracting budget-conscious users and educational institutions focused on efficiency over high upfront investment.

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

Buyer's Guide

IBM SPSS Modeler vs. Weka

February 2026

Download the complete report

Helped 881,733 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 Modeler

Ranking in Data Mining

3rd

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Science Platforms (12th)

Weka

Ranking in Data Mining

4th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (2nd)

Mindshare comparison

As of February 2026, in the Data Mining category, the mindshare of IBM SPSS Modeler is 19.1%, up from 16.9% compared to the previous year. The mindshare of Weka is 9.3%, down from 21.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	19.1%
Weka	9.3%
Other	71.6%

Data Mining

Featured Reviews

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

Read full review

Xavier Suriol

Manager at XS AMSAFIS DATASETS, S.L.

A good solution offering a range of tools but is limited by its user-handling capacities

In a new machine learning job, if the method is a bit foreign to me, if I have to do it in R, it could be a tedious task. First, I need to identify the libraries required for the new methodology. This can involve identifying two, three, or even four libraries. Then, I need to read their manuals thoroughly. This is time-consuming. In Weka, as all machine learning tools are on my desktop, I easily find out the method. As a freelancer, people send me datasets, and I work on the statistics at home before providing the solution. When a solution needs to be implemented on a server, server programmers install it on the server. This is similar to Power BI, where I prepare files on my desktop, and someone else uploads them to the server for others to access. I think I cannot send a Weka solution to a server programmer. In Weka, anyone can run the program without being a programmer, which is a good feature since the entry cost is very low.

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

"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."

"So far, the stability has been rock solid."

"Some basic form of feature engineering for classification models. This really quickens the model development process."

"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

"Compared to other tools, the product works much easier to analyze data without coding."

More IBM SPSS Modeler pros

"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's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."

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

"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."

"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data."

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

"Working with complicated algorithms in huge datasets is really easy in Weka."

More Weka pros

Cons

"It is not integrated with Qlik, Tableau, and Power BI."

"Expensive to deploy solutions. You need to buy an extra deployment unit."

"Dimension reduction should be classified separately."

"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."

"I can say the solution is outdated."

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

"I would like see more programming languages added, like MATLAB. That would be better."

"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."

More IBM SPSS Modeler cons

"In terms of scalability, I think Weka is not prepared to handle a large number of users."

"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."

"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."

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

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

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

"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."

"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

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"It is a huge increase to time savings."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"It got us a good amount of money with quick and efficient modeling."

"It is an expensive product."

More IBM SPSS Modeler pricing and cost advice

"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."

"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."

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

881,733 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Government

12%

Financial Services Firm

11%

University

Manufacturing Company

Educational Organization

16%

University

15%

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	4
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	2

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

See all answers

Ask a question

Earn 20 points

Comparisons

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 46% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 8% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 6% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 4% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Modeler

Compared 3% of the time

More IBM SPSS Modeler Competitors

KNIME Business Hub vs Weka

Compared 35% of the time

IBM SPSS Statistics vs Weka

Compared 11% of the time

Elastic Search vs Weka

Compared 8% of the time

DataRPM vs Weka

Compared 8% of the time

SAS Enterprise Miner vs Weka

Compared 7% of the time

More Weka Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

Download IBM SPSS Modeler product report

Buyer's Guide

Weka

January 2026

Download Weka product report

Also Known As

SPSS Modeler

No data available

Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

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

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Information Not Available

Buyer's Guide

IBM SPSS Modeler vs. Weka

February 2026

Free Report: IBM SPSS Modeler vs. Weka

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

DOWNLOAD NOW

881,733 professionals have used our research since 2012.

See our IBM SPSS Modeler vs. Weka report.

See our list of best Data Mining vendors.

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.