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 13.5% mindshare in DM, compared to SAS’s 7.4% 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

8,226 Views
1,234 Comparison Views

94% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

811 Views
811 Comparison Views

94% willing to recommend

KNIME Business Hub

SAS Analytics

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 8, 2026

SAS Analytics and KNIME Business Hub are both prominent in the data analytics space, each catering to different user needs. KNIME Business Hub proves advantageous due to its flexibility and integration capabilities, ideal for innovative data projects.

Features: KNIME Business Hub provides easy ETL operations, a rich algorithm set, and integration with other languages like R, Python, and Java. Its open-source nature offers cost-effective and expansive data processing. SAS Analytics features comprehensive analytical tools, advanced statistical analysis, predictive modeling, and strong integration with major platforms. Its ease of use with coding languages like SQL makes it accessible for users familiar with such environments.

Room for Improvement: KNIME could enhance its interface for larger-scale enterprise deployment, improve real-time data processing capabilities, and expand its community-driven resources. SAS Analytics might focus on simplifying its deployment process, offer more robust support for new users, and reduce software complexity to cater equally well to non-technical users.

Ease of Deployment and Customer Service: KNIME Business Hub facilitates adaptable deployment models, allowing seamless cloud or on-premise integration supported by a strong user community. SAS Analytics requires a more specialized deployment environment but offers extensive professional support services, emphasizing dedicated assistance for customers.

Pricing and ROI: KNIME Business Hub is attractive due to its low initial investment costs and high long-term ROI, favored by those seeking open-source advantages. SAS Analytics involves higher upfront investment, justified by its powerful analytics and substantial data-driven insights that can lead to significant ROI if utilized effectively.

To learn more, read our detailed KNIME Business Hub vs. SAS Analytics Report (Updated: February 2026).

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

February 2026

Download the complete report

Helped 881,733 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 February 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 13.5%, down from 24.9% compared to the previous year. The mindshare of SAS Analytics is 7.4%, up from 6.2% 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	13.5%
SAS Analytics	7.4%
Other	79.1%

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

"The solution is very easy to use"

"The tool's analytic capabilities are good."

"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."

"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."

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

"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."

"KNIME is easy to learn."

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

More KNIME Business Hub pros

"The team immediately resolves the issues."

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

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

"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."

"The technical support is okay."

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

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

More SAS Analytics pros

Cons

"The predefined workflows could use a bit of improvement."

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

"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."

"There should be better documentation and the steps should be easier."

"KNIME's documentation is not strong."

"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."

"The license is quite expensive for us."

"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."

More KNIME Business Hub cons

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

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

"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."

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

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

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

More SAS Analytics cons

Pricing and Cost Advice

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

"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."

"This is a free open-source solution."

"KNIME Business Hub is expensive for small companies."

"I use the open-source version."

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

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

More KNIME Business Hub pricing and cost advice

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

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

"Prices were comparable with alternative solutions."

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

"SAS is very expensive."

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

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

"Licensing was rather straightforward."

More SAS Analytics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

881,733 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Financial Services Firm

26%

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 14% of the time

Dataiku vs KNIME Business Hub

Compared 11% 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 8% of the time

SAS Enterprise Miner vs KNIME Business Hub

Compared 2% of the time

More KNIME Business Hub Competitors

IBM SPSS Modeler vs SAS Analytics

Compared 13% of the time

IBM SPSS Statistics vs SAS Analytics

Compared 12% of the time

Lytics Conductor vs SAS Analytics

Compared 10% of the time

OpenText Intelligent Classification vs SAS Analytics

Compared 8% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 8% 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

February 2026

Free Report: KNIME Business Hub vs. SAS Analytics

Find out what your peers are saying about KNIME Business Hub vs. SAS Analytics and other solutions. Updated: February 2026.

DOWNLOAD NOW

881,733 professionals have used our research since 2012.

See our KNIME Business Hub vs. SAS Analytics report.

See our list of best Data Mining vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.