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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
2nd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
63
Ranking in other categories
Data Science Platforms (5th)
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 August 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 10.5%, down from 24.3% compared to the previous year. The mindshare of SAS Analytics is 7.8%, up from 7.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub10.5%
SAS Analytics7.8%
Other81.7%
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

"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"We can deploy the solution in a cluster as well."
"It's a huge tool with machine learning features as well."
"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."
"Overall KNIME serves its purpose and does a good job."
"We are able to automate several functions which were done manually, and I can integrate several data sets quickly and easily to support analytics."
"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."
"Data preparation and data modeling are easy to do."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"It has facilitated timely analysis results with quality work, meaningful output, and consistent data use."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"I use SAS daily to analyze data, produce reports, and other outputs."
"It's very easy to use once you learn it."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams, allowing me to create functions that operate independently and streamline workflows efficiently."
 

Cons

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"For now, the license is quite expensive for us and it would be helpful if that was reduced."
"The user interface could be a bit better."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"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."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"It could be easier to use."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"This solution should be made more user-friendly."
"It is relatively expensive."
"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."
"This solution should be made more user-friendly. It needs a better visual output to explain logic to senior executives."
"The installation could also be easier, and the price could be better."
"In the graphical area much more improvement is still needed."
"The natural language querying and automated preparation of dashboards should be improved."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
 

Pricing and Cost Advice

"There is a Community Edition and paid versions available."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"I use the open-source version."
"KNIME offers a free version"
"They have different versions, but I am using the open-source one."
"KNIME is a cost-effective solution because it’s free of cost."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"It's an open-source solution."
"I think that the cost-benefit ratio is okay."
"It is relatively expensive. It is not an easy software to afford."
"​Setup costs were quite reasonable."
"Licensing was rather straightforward."
"Our licensing covers the usage for around 50 data analysts."
"Prices were comparable with alternative solutions."
"I rate the product’s pricing a one out of ten."
"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
University
8%
Manufacturing Company
8%
Educational Organization
6%
Financial Services Firm
27%
University
12%
Construction Company
9%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise32
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?
I would describe KNIME Decision Hub as somewhat helpful in making data-driven decisions more efficient. It could have been a scalable decisioning as a service at the back end, but it's not working ...
What is your primary use case for KNIME?
I mainly use KNIME Business Hub currently for data ETLs and then it meets with predictive analytics. Sometimes I utilize it for forecasting, but mostly it's predictive analytics. I have utilized bo...
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: August 2026.
908,858 professionals have used our research since 2012.