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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 February 2025, in the Data Mining category, the mindshare of KNIME is 24.9%, down from 27.1% compared to the previous year. The mindshare of SAS Analytics is 6.1%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

Shyam_Sridhar - PeerSpot reviewer
Good for data analysis to model prediction and application but data load limitations
KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn. You don't need a specific class. They're very good at model prediction. It has got everything. From data analysis to model prediction and application, it's very good. I only use the free community edition, not the enterprise one. I feel KNIME is really good. I haven't tried any other tool or platform yet, but KNIME is pretty good. The workflow is great. You drag and drop, and then you have the data explorer and charts that give results. The execution is also good – it's easy to identify where your model has gone wrong. It shows you the exact point of error within the workflow, so you don't have to execute the entire workflow to find it. For example, if your workflow has ten steps and the error is in the sixth step, it will show you the error at that step. You don't have to worry about the first five steps. The Data Explorer is very good, and the charts are great too. The accuracy charts for different models, like decision tree, K3, Naive Bayes, are all very good. KNIME is great at reporting, whether it's structured or unstructured data. These are all very good features.
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

"I was able to apply basic algorithms through just dragging and dropping."
"The solution allows for sharing model designs and model operations with other data analysts."
"Overall KNIME serves its purpose and does a good job."
"We can deploy the solution in a cluster as well."
"The product is open-source and therefore free to use."
"It's a coding-less opportunity to use AI. This is the major value for me."
"The tool's analytic capabilities are good."
"The solution is very easy to use"
"It has facilitated timely analysis results with quality work and meaningful output."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The most valuable feature is the ability to handle large data sets."
"It has improved the level of efficacy and validity of our reports."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"It's very easy to use once you learn it."
 

Cons

"There should be better documentation and the steps should be easier."
"We do not have much documentation in Portuguese."
"If they had a more structured training model it would be very helpful."
"Data visualization needs improvement."
"KNIME doesn't handle large datasets or a high number of records well."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"Compared to the other data tools on the market, the user interface can 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."
"The installation could also be easier, and the price could be better."
"​Support at universities used to be limited, but I hear this is changing.​"
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"They could enhance the AI capabilities of the product."
"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."
 

Pricing and Cost Advice

"KNIME assets are stand alone, as the solution is open source."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"KNIME is free and open source."
"It's an open-source solution."
"This is an open-source solution that is free to use."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"We're using the free academic license just locally. I went for KNIME because they have a free academic license."
"Our licensing covers the usage for around 50 data analysts."
"​Setup costs were quite reasonable."
"I rate the product’s pricing a one out of ten."
"SAS is very expensive."
"I think that the cost-benefit ratio is okay."
"It is relatively expensive. It is not an easy software to afford."
"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
"Licensing was rather straightforward."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
12%
Computer Software Company
9%
Educational Organization
7%
Financial Services Firm
19%
Computer Software Company
11%
Educational Organization
8%
University
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: January 2025.
838,640 professionals have used our research since 2012.