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KNIME vs SAS Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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

KNIME
Ranking in Data Mining
1st
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
59
Ranking in other categories
Data Science Platforms (2nd)
SAS Analytics
Ranking in Data Mining
5th
Average Rating
9.2
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Data Mining category, the mindshare of KNIME is 25.3%, down from 27.5% compared to the previous year. The mindshare of SAS Analytics is 6.1%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

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,
AltanAtabarut - PeerSpot reviewer
Good interactive reports and dashboards but expensive to run
You need to constantly jump from data prep to visualization, then back to data for fixing quality, enriching, and visualizing again. Then you start modeling and need to switch back and forth again. Eventually, you have to democratize the results so that anyone can look and interactively question the underlying insights. For all of these purposes - data to BI or data to AI to BI - it is never a linear one way relationship; it's rather a closed loop for continuous analysis monitoring and sharing. If used this way, SAS Visual analytics can enable continuous improvement and innovation in a corporation.

Quotes from Members

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

Pros

"The solution is very easy to use"
"The solution is good for teaching, since there is no need to code."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"KNIME is easy to learn."
"We have been able to appreciate the considerable reduction in prototyping time."
"I've never had any problems with stability."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"This open-source product can compete with category leaders in ELT software."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The team immediately resolves the issues."
"It has facilitated timely analysis results with quality work and meaningful output."
"The most valuable feature is the ability to handle large data sets."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
 

Cons

"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."
"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."
"The ability to handle large amounts of data and performance in processing need to be improved."
"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."
"The documentation is lacking and it could be better."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"KNIME's documentation is not strong."
"For graphics, the interface is a little confusing. So, this is a point that could be improved."
"They could enhance the AI capabilities of the product."
"The natural language querying and automated preparation of dashboards should be improved."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"​Support at universities used to be limited, but I hear this is changing.​"
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"This solution should be made more user-friendly."
"The installation could also be easier, and the price could be better."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
 

Pricing and Cost Advice

"KNIME assets are stand alone, as the solution is open source."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"They have different versions, but I am using the open-source one."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"This is a free 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."
"I use the tool's free version."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"​Setup costs were quite reasonable."
"Our licensing covers the usage for around 50 data analysts."
"I think that the cost-benefit ratio is okay."
"I rate the product’s pricing a one out of ten."
"Licensing was rather straightforward."
"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
"Prices were comparable with alternative solutions."
"It is relatively expensive. It is not an easy software to afford."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
8%
Financial Services Firm
19%
Computer Software Company
11%
Educational Organization
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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.
What do you like most about SAS Analytics?
I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.
What needs improvement with SAS Analytics?
The natural language querying and automated preparation of dashboards should be improved. The cost and accessibility should be improved. For a $900 USD/user/annual license you have to set up a $12,...
What is your primary use case for SAS Analytics?
This is an application I use for data prep, data exploration, BI reporting, and some basic automated analytics.
 

Comparisons

 

Also Known As

KNIME Analytics Platform
No data available
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service
Find out what your peers are saying about KNIME vs. SAS Analytics and other solutions. Updated: March 2025.
842,296 professionals have used our research since 2012.