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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
8.0
Reviews Sentiment
7.1
Number of Reviews
59
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

"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."
"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's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"It is a great product for running statistical analysis."
"Very good data aggregation."
"We have been able to do some predictive modeling with it"
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"I would rate the stability of KNIME a ten out of ten."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"The product is user-friendly."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"The tool's analytic capabilities are good."
"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."
 

Cons

"I think mapping for geographic data would also be a really great thing to be able to use."
"I would like see more programming languages added, like MATLAB. That would be better."
"The standard package (personal) is not supported for database connection."
"Dimension reduction should be classified separately."
"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."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"​Initial setup of the software was complex, because of our own problems within the government."
"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."
"The documentation is lacking and it could be better."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"Data visualization needs improvement."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"Compared to the other data tools on the market, the user interface can be improved."
"KNIME is not good at visualization."
"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."
 

Pricing and Cost Advice

"It is an expensive product."
"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."
"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."
"It got us a good amount of money with quick and efficient modeling."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"This tool, being an IBM product, is pretty expensive."
"At this time, I am using the free version of Knime."
"KNIME is free and open source."
"I use the open-source version."
"This is a free open-source solution."
"KNIME is a cost-effective solution because it’s free of cost."
"KNIME is an open-source tool, so it's free to use."
"It is expensive to procure the license."
"KNIME is a cheap product. I currently use KNIME's open-source version."
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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.
JP
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
9%
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
7%
 

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: February 2025.
845,040 professionals have used our research since 2012.