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 24.3% mindshare in DM, compared to SAS’s 7.7% 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

10,110 Views
1,517 Comparison Views

94% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

559 Views
559 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: July 2025).

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

July 2025

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Helped 865,295 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 (2nd)

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 August 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 24.3%, down from 26.6% compared to the previous year. The mindshare of SAS Analytics is 7.7%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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,

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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

"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."

"The most useful features are the readily available extensions that speed up the work."

"It is very fast to develop solutions."

"KNIME is more intuitive and easier to use, which is the principal advantage."

"KNIME is easy to learn."

"This solution is easy to use and especially good at data preparation and wrapping."

"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."

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

More KNIME Business Hub pros

"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 SAS daily to analyze data, produce reports, and other outputs."

"I use it to replicate our entire financial system to verify/duplicate calculations."

"It is able to connect to all major platforms, and all the smaller platforms that I have come across."

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

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

"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."

"The technical support is okay."

More SAS Analytics pros

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."

"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."

"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."

"The pricing needs improvement."

"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."

"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."

"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."

"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."

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

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

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

"The natural language querying and automated preparation of dashboards should be improved."

"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 client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."

"There is a Community Edition and paid versions available."

"The price for Knime is okay."

"They have different versions, but I am using the open-source one."

"This is a free open-source solution."

"This is an open-source solution that is free to use."

"We're using the free academic license just locally. I went for KNIME because they have a free academic license."

"I use the open-source version."

More KNIME Business Hub pricing and cost advice

"Our licensing covers the usage for around 50 data analysts."

"Setup costs were quite reasonable."

"Licensing was rather straightforward."

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

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

"SAS is very expensive."

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

"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

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

Altair RapidMiner vs KNIME Business Hub

Compared 24% 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

More KNIME Business Hub Competitors

IBM SPSS Statistics vs SAS Analytics

Compared 19% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 18% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 14% 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

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Buyer's Guide

Data Mining

July 2025

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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

July 2025

Free Report: KNIME Business Hub vs. SAS Analytics

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