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KNIME Business Hub vs SAS Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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 Business Hub
Ranking in Data Mining
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
63
Ranking in other categories
Data Science Platforms (3rd)
SAS Analytics
Ranking in Data Mining
5th
Average Rating
9.2
Reviews Sentiment
5.9
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 11.4%, down from 25.1% compared to the previous year. The mindshare of SAS Analytics is 8.1%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub11.4%
SAS Analytics8.1%
Other80.5%
Data Mining
 

Featured Reviews

NataliaRaffo - PeerSpot reviewer
Co Founder & Chief Data Officer Cdo at NTT DATA
Workflow automation has accelerated advanced analytics and machine learning delivery
Sometimes it is a little bit difficult to use some nodes when we have many large-scale data, for example, CSV files with a large amount of data. It is sometimes difficult to try to import the data in KNIME Business Hub nodes because I think that some features that are in the CSV in text, for example, large text, is difficult for KNIME Business Hub to import these fields. I don't know why, but it is very difficult. We need to try to use different nodes for importing the data, such as File Reader and CSV Reader. However, I think that it is always the features that have much text, it is difficult for KNIME Business Hub to understand and import this information. I don't know why, or maybe I don't know if we don't know what the better option is to configure the node to import all the CSV or the data set. However, we have always had this problem. In some nodes, sometimes it is the same because sometimes, for example, I have a CSV and in my CSV, I have a feature that is, for example, a date. When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text, for example. We try to use their nodes that convert text to date, but sometimes it is difficult, and it is not immediate to transform the text into a date. So we needed to convert the text into a date in the CSV, and then import it again in the KNIME Business Hub node and try to have a good read of this field. I know that KNIME Business Hub has some nodes to convert text to date and others, but sometimes it is difficult to use these nodes. I don't know why. Maybe it needs a specific format for the date and we need to transform our feature in this option. So sometimes it is a large process to convert these features. However, sometimes we need to investigate and search for other nodes, and try with other nodes to import these cases.
SC
Student at Rochester Institute of Technology
Data management has become faster and clearer but integration and large data handling still need work
SAS Analytics needs to improve for entry-level people in my college because buying licenses is somewhat costly for small businesses. SAS Analytics is also somewhat complex for students who are entering the data field. Additionally, SAS Analytics is not good at integration with other environments, so it should improve on that, and some syntaxes are not good. SAS Analytics has an older architecture in some areas, so it should enhance the UX side and performance in some aspects. SAS Analytics documentation should improve to be clearer for students who are currently using or trying to use SAS Analytics, so the documentation should be simplified. Customer service is pretty good as of now, as they respond in two to four hours on business days, but faster response times may solve many problems and attract more users. I rate SAS Analytics seven or eight out of ten. SAS Analytics should improve in massive data handling, as I mentioned earlier. SAS Analytics struggles when it handles massive data, and it should also get top-tier support. The support should improve from two to four hours down to one hour or even thirty minutes. SAS Analytics should also offer more low-code options for those who do not know how to code or to save more time, and they should consider reducing their pricing. Currently, SAS Analytics has limited flexibility and very limited integration, so improvements in those areas are necessary. SAS Analytics student version does not handle long or lengthy data well right now, so it should improve on that point. As I have mentioned, it struggles with larger data sets, but for current small or medium data sets, it is very good. Customer support should improve to fifteen to thirty minutes or immediate live agents during business hours. The two to four hours wait can sometimes take more than one day, and that does not make sense. We have to stop all our work until they reply if we encounter critical problems, so they should improve for certain.

Quotes from Members

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

Pros

"The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"The most useful features are the readily available extensions that speed up the work."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"It has an excellent interface, is very easy to use, really boosts productivity, has impressive performance even on a normal laptop, and its diversity of tools for preprocessing and integration with R and Weka make it the perfect data mining solution."
"It's a very powerful and simple tool to use."
"The solution is good for teaching, since there is no need to code."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"This solution has helped us materially grow multiple business categories."
"It has facilitated timely analysis results with quality work, meaningful output, and consistent data use."
"The technical support is okay."
"I use SAS daily to analyze data, produce reports, and other outputs."
"It has improved the level of efficacy and validity of our reports, and this has also extended to the area of customer service and relations."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
 

Cons

"The pricing needs improvement."
"For graphics, the interface is a little confusing."
"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"The documentation is lacking and it could be better."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"From the point of view of the interface, they can do a little bit better."
"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."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"​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."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"SAS is very expensive. The challenge with them is that you have to pay for a license with every module you buy."
"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."
"They could enhance the AI capabilities of the product."
"The graphing and visualization features could be enhanced, in my opinion."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
 

Pricing and Cost Advice

"I use the open-source version."
"KNIME assets are stand alone, as the solution is open source."
"They have different versions, but I am using the open-source one."
"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."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"KNIME is an open-source tool, so it's free to use."
"KNIME is a cost-effective solution because it’s free of cost."
"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."
"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
"Our licensing covers the usage for around 50 data analysts."
"Prices were comparable with alternative solutions."
"SAS is very expensive."
"I rate the product’s pricing a one out of ten."
"I think that the cost-benefit ratio is okay."
"It is relatively expensive. It is not an easy software to afford."
"Licensing was rather straightforward."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
7%
Financial Services Firm
25%
University
15%
Construction Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise31
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise11
 

Questions from the Community

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?
In my previous PeerSpot review from March 2024, I mentioned that KNIME was not very strong in visualization and that I wanted to see NLQ (Natural Language Query) and automated visualization capabil...
What is your primary use case for KNIME?
I mainly use KNIME for ETL and data integration projects, followed by clustering and customer segmentation, process mining, AI and machine learning preprocessing pipelines, and recently GenAI orche...
What needs improvement with SAS Analytics?
With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations. Many other software...
What is your primary use case for SAS Analytics?
I work with SAS Analytics solutions, specifically with SAS Data Mining, because I extract information from the core system of the bank via ODBC connections and use SAS Base on the servers. I am the...
What is your experience regarding pricing and costs for SAS Analytics?
As a student, I do not pay anything for pricing; my college gives me credentials, and SAS Analytics is free for students, so the licensing is also free. Thus, SAS Analytics for students is very good.
 

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 Business Hub vs. SAS Analytics and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.