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 8.0, while SAS is ranked #5 with an average rating of 9.0. Knime holds a 14.6% mindshare in DM, compared to SAS’s 7.0% 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

8,180 Views
1,227 Comparison Views

94% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

704 Views
704 Comparison Views

94% willing to recommend

KNIME Business Hub

SAS Analytics

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Executive SummaryUpdated on Nov 2, 2025

SAS Analytics and KNIME Business Hub vie in the data analytics and business intelligence sector, with each offering distinct market-tailored capabilities. SAS Analytics has an edge with strong support and pricing, while KNIME Business Hub is noteworthy for its features, proving its value.

Features: SAS Analytics excels with advanced analytical functions, predictive modeling, and extensive data management tools. KNIME Business Hub prioritizes open-source integration, workflow automation, and flexibility in handling various data types, giving it an edge in diverse project needs.

Room for Improvement: SAS Analytics could improve in open-source integration, ease of use for beginners, and flexibility in deployment. KNIME Business Hub needs to enhance customer service, simplify large-scale data handling, and expand the support for non-standard analytics applications.

Ease of Deployment and Customer Service: SAS Analytics provides a structured deployment model, extensive support, and training for seamless integration. KNIME Business Hub offers flexible deployment and user-friendly configurations but needs more robust customer service compared to SAS.

Pricing and ROI: SAS Analytics typically involves higher upfront costs but promises significant long-term ROI through its features and support. KNIME Business Hub, with lower initial costs, offers favorable ROI, balancing cost efficiency with platform adaptability.

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

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

December 2025

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Helped 880,901 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 January 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 14.6%, down from 25.5% compared to the previous year. The mindshare of SAS Analytics is 7.0%, up from 6.0% 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	14.6%
SAS Analytics	7.0%
Other	78.4%

Data Mining

Featured Reviews

DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

Read full review

Ernesto Tapia

Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca

Automated workflows enhance productivity but could better handle stress tests

I use SAS Analytics in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics for the project roster from Santander, selecting and evaluating credits, and conducting historical research on the reception of contracts to issue securitization…

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

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

"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."

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

"The tool's analytic capabilities are good."

"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."

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

"KNIME is quite scalable, which is one of the most important features that we found."

"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."

More KNIME Business Hub pros

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

"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 team immediately resolves the issues."

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

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams."

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

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

"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."

More SAS Analytics pros

Cons

"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."

"I've had some problems integrating KNIME with other solutions."

"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."

"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."

"The license is quite expensive for us."

"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."

"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."

"For graphics, the interface is a little confusing."

More KNIME Business Hub cons

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

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

"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."

"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."

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

More SAS Analytics cons

Pricing and Cost Advice

"It is expensive to procure the license."

"KNIME offers a free version"

"This is a free open-source solution."

"KNIME is an open-source tool, so it's free to use."

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"KNIME is a cheap product. I currently use KNIME's open-source version."

"KNIME is free and open source."

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

More KNIME Business Hub pricing and cost advice

"Licensing was rather straightforward."

"SAS is very expensive."

"Prices were comparable with alternative solutions."

"Setup costs were quite reasonable."

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

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

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

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

More SAS Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Financial Services Firm

27%

Computer Software Company

11%

University

Construction 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

Altair RapidMiner vs KNIME Business Hub

Compared 17% of the time

Dataiku vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 9% of the time

Amazon SageMaker vs KNIME Business Hub

Compared 2% of the time

More KNIME Business Hub Competitors

IBM SPSS Statistics vs SAS Analytics

Compared 13% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 13% of the time

Lytics Conductor vs SAS Analytics

Compared 10% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 8% of the time

SAS Enterprise Miner vs SAS Analytics

Compared 7% of the time

More SAS Analytics Competitors

Product Reports

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Buyer's Guide

Data Mining

January 2026

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

December 2025

Free Report: KNIME Business Hub vs. SAS Analytics

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