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 8.1. IBM holds a 17.9% mindshare in DM, compared to Knime’s 24.3% 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

2,195 Views
922 Comparison Views

86% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,110 Views
1,517 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: August 2025).

Buyer's Guide

IBM SPSS Modeler vs. KNIME Business Hub

August 2025

Download the complete report

Helped 865,164 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

19th

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

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 August 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.9%, up from 16.5% compared to the previous year. The mindshare of KNIME Business Hub is 24.3%, down from 26.6% 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 is a great product for running statistical analysis."

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"We have full control of the data handling process."

"It is pretty scalable."

"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."

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

"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."

"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."

More IBM SPSS Modeler pros

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

"From a user-friendliness perspective, it's a great tool."

"Easy to use, stable, and powerful."

"There are a lot of connectors available in KNIME."

"It's a very powerful and simple tool to use."

"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."

"It's a huge tool with machine learning features as well."

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

More KNIME Business Hub pros

Cons

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

"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."

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

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

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

"It would be good if IBM added help resources to the interface."

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

More IBM SPSS Modeler cons

"The predefined workflows could use a bit of improvement."

"I wish there were more video training resources for KNIME. The current videos are very short, and most learning is text-based. Longer training sessions would be helpful, especially for complex flowchart use cases. Webinars focusing on starting projects and analyzing data would also be beneficial."

"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."

"The license is quite expensive for us."

"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."

"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."

"The ability to handle large amounts of data and performance in processing need to be improved."

"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."

More KNIME Business Hub 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."

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

"It is a huge increase to time savings."

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

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

"This tool, being an IBM product, is pretty expensive."

"It is an expensive product."

"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

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

"They have different versions, but I am using the open-source one."

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

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

"This is a free open-source solution."

"KNIME Business Hub is expensive for small companies."

"It's an open-source solution."

"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

865,164 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

12%

Educational Organization

11%

Government

10%

University

Financial Services Firm

11%

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 24% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 24% 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 24% of the time

Dataiku vs KNIME Business Hub

Compared 14% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Amazon SageMaker vs KNIME Business Hub

Compared 2% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

August 2025

Download IBM SPSS Modeler product report

Buyer's Guide

KNIME Business Hub

August 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

August 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: August 2025.

DOWNLOAD NOW

865,164 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.