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

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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: February 2026).

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

February 2026

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Helped 881,665 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.

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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

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

"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."

"The tool's analytic capabilities are good."

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

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

"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."

"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."

"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."

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."

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

"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 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."

More SAS Analytics pros

Cons

"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."

"The pricing needs improvement."

"It could input more data acquisitions from other sources and it is difficult to combine with Python."

"System resource usage. Knime will occupy total system RAM size and other applications will hang."

"KNIME's documentation is not strong."

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

"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."

"I would prefer to have more connectivity."

More KNIME Business Hub cons

"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."

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

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

"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."

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

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

More SAS Analytics cons

Pricing and Cost Advice

"KNIME is free and open source."

"I use the open-source version."

"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."

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

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

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

"This is a free open-source solution."

More KNIME Business Hub pricing and cost advice

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

"Setup costs were quite reasonable."

"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."

"Prices were comparable with alternative solutions."

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

"SAS is very expensive."

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

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

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Compared 15% of the time

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Compared 11% of the time

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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

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Compared 13% of the time

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Compared 12% of the time

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Compared 10% of the time

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Compared 8% of the time

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Compared 8% of the time

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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

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