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IBM SPSS Modeler vs KNIME comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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
13th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
39
Ranking in other categories
No ranking in other categories
KNIME
Ranking in Data Mining
1st
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.3%, up from 16.4% compared to the previous year. The mindshare of KNIME is 25.7%, down from 27.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Q&A Highlights

EzzAbdelfattah - PeerSpot reviewer
Dec 30, 2019
 

Featured Reviews

PeterHuo - PeerSpot reviewer
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.
Laurence Moseley - PeerSpot reviewer
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,

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The visual modeling capability is one of its attractive features."
"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."
"The quality is very good."
"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."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"It scales. I have not run into any challenges where it will not perform.​"
"Compared to other tools, the product works much easier to analyze data without coding."
"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."
"The tool's analytic capabilities are good."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"It's a huge tool with machine learning features as well."
"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."
"We can deploy the solution in a cluster as well."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"The product is open-source and therefore free to use."
 

Cons

"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"C&DS will not meet our scalability needs."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"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."
"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."
"The challenge for the very technical data scientists: It is constraining for them.​"
"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."
"The documentation is lacking and it could be better."
"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."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"The predefined workflows could use a bit of improvement."
"The graphic features of KNIME need improvement"
"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."
 

Pricing and Cost Advice

"$5,000 annually."
"This tool, being an IBM product, is pretty expensive."
"It got us a good amount of money with quick and efficient modeling."
"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 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."
"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."
"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."
"KNIME assets are stand alone, as the solution is open source."
"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"It's an open-source solution."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"I use the tool's free version."
"KNIME is free and open source."
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Answers from the Community

EzzAbdelfattah - PeerSpot reviewer
Dec 30, 2019
Dec 30, 2019
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.
2 out of 4 answers
ZW
Dec 27, 2019
KNIME. It free, open-source, and you can plug in Java, Python, R, and Matlab. The community is awesome.
Dec 28, 2019
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.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Educational Organization
12%
University
9%
Computer Software Company
8%
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
8%
 

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.
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...
What needs improvement with IBM SPSS Modeler?
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 performanc...
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
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.
What needs improvement with KNIME?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
 

Comparisons

 

Also Known As

SPSS Modeler
KNIME Analytics Platform
 

Overview

 

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
Find out what your peers are saying about IBM SPSS Modeler vs. KNIME and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.