KNIME Business Hub vs SAS Analytics comparison

Knime and SAS are both solutions in the Data Mining category. Knime is ranked #1 with an average rating of 8.1, while SAS is ranked #5 with an average rating of 9.0. Knime holds a 22.1% mindshare in DM, compared to SAS’s 7.8% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 94% of SAS users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

9,800 Views
1,470 Comparison Views

94% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

601 Views
601 Comparison Views

94% willing to recommend

KNIME Business Hub

SAS Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

SAS Analytics and KNIME Business Hub compete in the analytics field, with KNIME seen as having the upper hand due to superior features.

Features: SAS Analytics is recognized for its predictive modeling, statistical analysis capabilities, and proficiency in data integration. KNIME Business Hub is known for its open-source flexibility, wide array of extensions for machine learning, and data manipulation features.

Room for Improvement: SAS could enhance its flexibility and scalability to appeal to a broader user base and refine integration with new analytics technologies. KNIME could improve by expanding its support services and refining certain advanced features for better user experience.

Ease of Deployment and Customer Service: SAS offers a robust deployment model and extensive support ensuring smooth implementation and assistance. KNIME, while easy to deploy, focuses more on flexibility, though its support services are less comprehensive than SAS.

Pricing and ROI: SAS typically has higher initial costs but promises solid ROI with its extensive support and capabilities. KNIME, potentially more cost-effective initially, offers great value via its rich feature set and open-source nature, enabling innovation and customization.

To learn more, read our detailed KNIME Business Hub vs. SAS Analytics Report (Updated: September 2025).

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

September 2025

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Helped 867,021 peers since 2012

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

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

SAS Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 22.1%, down from 27.4% compared to the previous year. The mindshare of SAS Analytics is 7.8%, up from 7.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	22.1%
SAS Analytics	7.8%
Other	70.1%

Data Mining

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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,

Read full review

AltanAtabarut

Solution Consulting, Growth, Analytics at Akinon

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.

Read full review

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."

"This solution is easy to use and it can be used to create any kind of model."

"There are a lot of connectors available in KNIME."

"It's a huge tool with machine learning features as well."

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."

"It's a very powerful and simple tool to use."

"The solution allows for sharing model designs and model operations with other data analysts."

More KNIME Business Hub pros

"The team immediately resolves the issues."

"It's very easy to use once you learn it."

"It has improved the level of efficacy and validity of our reports."

"It has facilitated timely analysis results with quality work and meaningful output."

"The most valuable feature is the ability to handle large data sets."

"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."

"It has also been around for an extremely long time, has a strong history, and good market penetration."

"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."

More SAS Analytics pros

Cons

"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."

"The documentation is lacking and it could be better."

"Compared to the other data tools on the market, the user interface can be improved."

"KNIME could improve when it comes to large data markets."

"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."

"KNIME's documentation is not strong."

"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."

"Data visualization needs improvement."

More KNIME Business Hub cons

"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

"I would like to see their interface to R added to either Base SAS or SAS Analytics."

"The installation could also be easier, and the price could be better."

"They could enhance the AI capabilities of the product."

"This solution should be made more user-friendly."

"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."

"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

"Support at universities used to be limited, but I hear this is changing."

More SAS Analytics cons

Pricing and Cost Advice

"The price for Knime is okay."

"KNIME assets are stand alone, as the solution is open source."

"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."

"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."

"KNIME is a cost-effective solution because it’s free of cost."

"This is a free open-source solution."

"It is expensive to procure the license."

"It's an open-source solution."

More KNIME Business Hub pricing and cost advice

"I rate the product’s pricing a one out of ten."

"Licensing was rather straightforward."

"It is relatively expensive. It is not an easy software to afford."

"I think that the cost-benefit ratio is okay."

"The cost for SAS Business Intelligence can prove to be a little prohibitive."

"SAS is very expensive."

"Setup costs were quite reasonable."

"Prices were comparable with alternative solutions."

More SAS Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

Financial Services Firm

19%

Computer Software Company

10%

Insurance Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

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.

See all answers

What needs improvement with KNIME?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...

See all answers

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.

See all answers

What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

See all answers

What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

See all answers

Comparisons

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Compared 23% of the time

Dataiku vs KNIME Business Hub

Compared 13% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

IBM SPSS Statistics vs KNIME Business Hub

Compared 1% of the time

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IBM SPSS Statistics vs SAS Analytics

Compared 19% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 16% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 13% of the time

Weka vs SAS Analytics

Compared 13% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

August 2025

Download KNIME Business Hub product report

Buyer's Guide

Data Mining

August 2025

Download SAS Analytics product report

Also Known As

KNIME Analytics Platform

No data available

Overview

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.

SAS

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

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

September 2025

Free Report: KNIME Business Hub vs. SAS Analytics

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