IBM SPSS Modeler vs KNIME Business Hub comparison

IBM and Knime are both solutions in the Data Mining category. IBM is ranked #3 with an average rating of 8.0, while Knime is ranked #1 with an average rating of 8.0. IBM holds a 20.2% mindshare in DM, compared to Knime’s 14.6% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,486 Views
1,268 Comparison Views

86% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,180 Views
1,227 Comparison Views

94% willing to recommend

IBM SPSS Modeler

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 2, 2025

IBM SPSS Modeler and KNIME Business Hub are two analytics platforms that compete in the data science field. KNIME Business Hub holds the upper hand due to its flexibility, open-source nature, and lower cost, making it a preferred choice for many users.

Features: IBM SPSS Modeler is known for its advanced statistical tools, seamless integration with IBM analytics tools, and a wide range of algorithms for predictive modeling. KNIME Business Hub offers flexibility, an open-source platform, and the ease of integrating various data sources and tools, providing a customizable user experience.

Room for Improvement: IBM SPSS Modeler could improve its visual modeling capabilities and reduce complexity in data governance features. Additional enhancements in integration with non-IBM tools would be beneficial. KNIME Business Hub may require improvements in community-driven support, more intuitive user interfaces, and better handling of extremely large datasets to enhance efficiency.

Ease of Deployment and Customer Service: IBM SPSS Modeler provides robust customer support and a structured deployment process that benefits organizations integrated into the IBM ecosystem. In contrast, KNIME Business Hub offers a flexible deployment model appreciated for its adaptability in various technological environments, leveraging community-driven support and resources.

Pricing and ROI: IBM SPSS Modeler has a significant initial setup cost but delivers high ROI through its powerful analytics capabilities. In contrast, KNIME Business Hub, being open-source, reduces initial costs and offers high ROI by enabling extensive customization and adaptation to specific needs.

To learn more, read our detailed IBM SPSS Modeler vs. KNIME Business Hub Report (Updated: January 2026).

Buyer's Guide

IBM SPSS Modeler vs. KNIME Business Hub

January 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 Modeler

Ranking in Data Mining

3rd

Ranking in Data Science Platforms

13th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

KNIME Business Hub

Ranking in Data Mining

1st

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of IBM SPSS Modeler is 20.2%, up from 17.0% compared to the previous year. The mindshare of KNIME Business Hub is 14.6%, down from 25.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	14.6%
IBM SPSS Modeler	20.2%
Other	65.2%

Data Mining

Q&A Highlights

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Dec 30, 2019

What is the biggest difference between IBM SPSS Modeler and KNIME?

The main difference lies in the community that has KNIME because the additional modules serve a multitude of different jobs from image processing, management of ssh file systems to chemical molecule calculations.

See all answers

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

DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

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

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"It will scale up to anything we need."

"Automation is great and this product is very organized."

"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."

"It works fine. I have not had any stability issues; it is always up."

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

"The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."

"It scales. I have not run into any challenges where it will not perform."

More IBM SPSS Modeler pros

"This solution is easy to use and it can be used to create any kind of model."

"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."

"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."

"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."

"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."

"The product is open-source and therefore free to use."

"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."

"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."

More KNIME Business Hub pros

Cons

"The standard package (personal) is not supported for database connection."

"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"It's not as user friendly as it could be."

"Dimension reduction should be classified separately."

"The product does not have a search function for tags."

"Requires more development."

More IBM SPSS Modeler cons

"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."

"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."

"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."

"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."

"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."

"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."

"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."

"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."

More KNIME Business Hub cons

Pricing and Cost Advice

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

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

"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 scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"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 an expensive product."

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

"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."

More IBM SPSS Modeler pricing and cost advice

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"It's an open-source solution."

"KNIME is a cost-effective solution because it’s free of cost."

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

"KNIME is a cheap product. I currently use KNIME's open-source version."

"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."

"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."

"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."

More KNIME Business Hub pricing and cost advice

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Answers from the Community

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Dec 30, 2019

What is the biggest difference between IBM SPSS Modeler and KNIME?

2 out of 4 answers

Zachary Weber

Robotics Club President at a university with 1,001-5,000 employees

Dec 27, 2019

KNIME. It free, open-source, and you can plug in Java, Python, R, and Matlab. The community is awesome.

Read full answer

it_user1167441

Works

Dec 28, 2019

Read full answer

See all 4 answers

Top Industries

By visitors reading reviews

Government

12%

Financial Services Firm

12%

University

Manufacturing Company

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

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	20
Midsize Enterprise	16
Large Enterprise	29

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

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

What is your experience regarding pricing and costs for KNIME?

I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.

See all answers

What needs improvement with KNIME?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...

See all answers

Comparisons

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Compared 49% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 9% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 4% of the time

Alteryx vs IBM SPSS Modeler

Compared 4% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Altair RapidMiner vs KNIME Business Hub

Compared 17% of the time

Dataiku vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 9% of the time

SAS Enterprise Miner vs KNIME Business Hub

Compared 2% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

Download IBM SPSS Modeler product report

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Also Known As

SPSS Modeler

KNIME Analytics Platform

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

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

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

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

Buyer's Guide

IBM SPSS Modeler vs. KNIME Business Hub

January 2026

Free Report: IBM SPSS Modeler vs. KNIME Business Hub

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