IBM SPSS Modeler vs KNIME Business Hub comparison

IBM and Knime are both solutions in the Data Mining category. IBM is ranked #4 with an average rating of 7.0, while Knime is ranked #1 with an average rating of 8.0. IBM holds a 17.9% mindshare in DM, compared to Knime’s 24.6% 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 39 IBM SPSS Modeler reviews

2,280 Views
935 Comparison Views

86% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,613 Views
1,592 Comparison Views

94% willing to recommend

IBM SPSS Modeler

KNIME Business Hub

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 27, 2025

IBM SPSS Modeler and KNIME Business Hub are competing in the analytics and data mining category. KNIME Business Hub has the upper hand due to its advanced analytics capabilities and features, making it a more attractive investment for tech buyers.

Features: IBM SPSS Modeler is notable for its predictive analytics and machine learning capabilities, offering extensive support for advanced data analysis. KNIME Business Hub provides excellent integration capabilities and an open-source framework, allowing for flexibility and custom modifications. KNIME stands out with its adaptability tailored for specific business needs.

Room for Improvement: IBM SPSS Modeler could enhance its integration capabilities and user interface for easier navigation and customization. There is also room to improve support for real-time analytics processes. KNIME Business Hub could benefit from lowering its initial setup complexity, expanding its visualization capabilities, and reducing dependencies on third-party extensions for basic features.

Ease of Deployment and Customer Service: KNIME Business Hub offers straightforward deployment with high-level customer support, ensuring seamless system integration. IBM SPSS Modeler provides efficient deployment services, though its approach is less simplified. KNIME’s adaptability and customer orientation enhance overall user satisfaction compared to the standardized approach of IBM SPSS Modeler.

Pricing and ROI: IBM SPSS Modeler generally involves higher setup costs but offers considerable ROI due to its strong data analysis performance. KNIME Business Hub, though bearing significant initial costs, offers better long-term ROI with flexible pricing models and versatile features. Its customization options make KNIME a strategically advantageous choice for maximizing return on investment.

To learn more, read our detailed IBM SPSS Modeler vs. KNIME Business Hub Report (Updated: July 2025).

Buyer's Guide

IBM SPSS Modeler vs. KNIME Business Hub

July 2025

Download the complete report

Helped 863,651 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

4th

Ranking in Data Science Platforms

17th

Average Rating

8.0

Reviews Sentiment

6.6

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

2nd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.9%, up from 16.3% compared to the previous year. The mindshare of KNIME Business Hub is 24.6%, down from 27.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

Q&A Highlights

EzzAbdelfattah

Associate Professor of Statistics at KAU

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

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

Read full review

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Has a drag-and-drop interface and AI capabilities

It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,

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

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

"The supervised models are valuable. It is also very organized and easy to use."

"We have been able to do some predictive modeling with it"

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

"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."

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

More IBM SPSS Modeler pros

"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."

"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."

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

"It can handle an unlimited amount of data, which is the advantage of using Knime."

"I've tried to utilize KNIME to the fullest extent possible to replace Excel."

"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."

"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."

"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."

More KNIME Business Hub pros

Cons

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

"Unstructured data is not appropriate for SPSS Modeler."

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

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

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

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

More IBM SPSS Modeler cons

"There should be better documentation and the steps should be easier."

"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."

"The license is quite expensive for us."

"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."

"For graphics, the interface is a little confusing."

"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."

"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."

"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."

More KNIME Business Hub cons

Pricing and Cost Advice

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"It is a huge increase to time savings."

"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."

"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."

"$5,000 annually."

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

More IBM SPSS Modeler pricing and cost advice

"This is an open-source solution that is free to use."

"KNIME is an open-source tool, so it's free to use."

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

"It's an open-source solution."

"At this time, I am using the free version of Knime."

"KNIME Business Hub is expensive for small companies."

"I use the tool's free 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."

More KNIME Business Hub pricing and cost advice

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

863,651 professionals have used our research since 2012.

Answers from the Community

EzzAbdelfattah

Associate Professor of Statistics at KAU

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

Financial Services Firm

11%

Educational Organization

11%

Government

10%

University

Financial Services Firm

12%

Manufacturing Company

10%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Modeler?

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

See all answers

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 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

Microsoft Power BI vs IBM SPSS Modeler

Compared 25% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 22% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

Weka vs IBM SPSS Modeler

Compared 5% of the time

More IBM SPSS Modeler Competitors

Altair RapidMiner vs KNIME Business Hub

Compared 26% of the time

Dataiku vs KNIME Business Hub

Compared 14% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 14% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Pentaho Business Analytics vs KNIME Business Hub

Compared 3% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

July 2025

Download IBM SPSS Modeler product report

Buyer's Guide

KNIME Business Hub

July 2025

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

July 2025

Free Report: IBM SPSS Modeler vs. KNIME Business Hub

Find out what your peers are saying about IBM SPSS Modeler vs. KNIME Business Hub and other solutions. Updated: July 2025.

DOWNLOAD NOW

863,651 professionals have used our research since 2012.

See our IBM SPSS Modeler vs. KNIME Business Hub report.

See our list of best Data Mining vendors and best Data Science Platforms 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.