KNIME Business Hub vs SAS Analytics comparison

Why PeerSpot?

Knime and SAS are both solutions in the Data Mining category. Knime is ranked #1 with an average rating of 8.5, while SAS is ranked #4 with an average rating of 8.5. Knime holds a 11.4% mindshare in DM, compared to SAS’s 8.9% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 95% of SAS users who would recommend it.

KNIME Business Hub

Read 65 KNIME Business Hub reviews

9,934 Views
2,185 Comparison Views

94% willing to recommend

SAS Analytics

Read 13 SAS Analytics reviews

1,931 Views
1,912 Comparison Views

95% willing to recommend

KNIME Business Hub

SAS Analytics

Comparison Buyer's Guide

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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: November 2026).

Buyer's Guide

KNIME Business Hub vs. SAS Analytics

November 2026

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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

6.7

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

SAS Analytics

Ranking in Data Mining

4th

Average Rating

9.2

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 11.4%, down from 16.8% compared to the previous year. The mindshare of SAS Analytics is 8.9%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
KNIME Business Hub	11.4%
SAS Analytics	8.9%
Other	79.7%

Data Mining

Featured Reviews

Filippo Elmino

Data Analyst at Politecnico di Milano

Automation has transformed payroll reporting and empowers nontechnical teams to run data workflows

KNIME Business Hub could be improved by increasing integration between KNIME and other tools, such as where companies store data and data visualization tools, making it easier to integrate with these tools and faster to create dashboard updates and quick data extraction through KNIME. An ETL process must communicate with both data sources and the data visualization layer. The integration needs to be more robust, and the nodes that act as connectors to these sources and tools need to be more robust, as the flow often broke when the problem was just a connection issue. This should be improved and perhaps expanded. Another problem was that KNIME could not integrate with all tools. Expanding the possibilities of creating reports and connecting to data visualization tools, especially on the data visualization side, would be useful. The output of an ETL process or ETL flow is visualization through a dashboard or report, so more downstream integration in the process would be needed. Regarding improvements needed in KNIME Business Hub, there may be a hierarchy of users and certain applications created. On the security side of accessing company data, I do not know whether this is already sufficiently considered by KNIME or not. I hope so, because certain data are sensitive and need to be handled with care. The fact that KNIME is enabled to access such data means you also need to ensure that authorizations and data processing policies are respected. Because some company data are sensitive, the fact that KNIME reads them also requires guaranteeing that a policy is respected on the other side. I hope this has already been considered by KNIME Business Hub; I am not aware, but if it has not, this could be an aspect to consider: privacy and the protection of company data when they are read by a system that is not company-owned but still must read them with all proper requirements and safeguards.

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Sanjay Charitesh Makam

Student at Rochester Institute of Technology

Data management has become faster and clearer but integration and large data handling still need work

SAS Analytics needs to improve for entry-level people in my college because buying licenses is somewhat costly for small businesses. SAS Analytics is also somewhat complex for students who are entering the data field. Additionally, SAS Analytics is not good at integration with other environments, so it should improve on that, and some syntaxes are not good. SAS Analytics has an older architecture in some areas, so it should enhance the UX side and performance in some aspects. SAS Analytics documentation should improve to be clearer for students who are currently using or trying to use SAS Analytics, so the documentation should be simplified. Customer service is pretty good as of now, as they respond in two to four hours on business days, but faster response times may solve many problems and attract more users. I rate SAS Analytics seven or eight out of ten. SAS Analytics should improve in massive data handling, as I mentioned earlier. SAS Analytics struggles when it handles massive data, and it should also get top-tier support. The support should improve from two to four hours down to one hour or even thirty minutes. SAS Analytics should also offer more low-code options for those who do not know how to code or to save more time, and they should consider reducing their pricing. Currently, SAS Analytics has limited flexibility and very limited integration, so improvements in those areas are necessary. SAS Analytics student version does not handle long or lengthy data well right now, so it should improve on that point. As I have mentioned, it struggles with larger data sets, but for current small or medium data sets, it is very good. Customer support should improve to fifteen to thirty minutes or immediate live agents during business hours. The two to four hours wait can sometimes take more than one day, and that does not make sense. We have to stop all our work until they reply if we encounter critical problems, so they should improve for certain.

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

"We have been able to appreciate the considerable reduction in prototyping time."

"If you like data analysis, KNIME is the best option; it's free and easy to set up."

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

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

"The product is user-friendly."

"It has allowed us to easily implement advanced analytics into various processes."

"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."

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

More KNIME Business Hub pros

"The technical support is okay."

"This solution has helped us materially grow multiple business categories."

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

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams, allowing me to create functions that operate independently and streamline workflows efficiently."

"SAS Analytics is a very versatile and comfortable tool and it is powerful because I can work with data from many millions of records, big data with SAS Analytics in a short time versus other software."

"The team immediately resolves the issues."

"It has facilitated timely analysis results with quality work, meaningful output, and consistent data use."

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

More SAS Analytics pros

Cons

"I believe it would be beneficial to offer a free bundle for users starting to use KNIME Business Hub for the first time."

"The diversity of native algorithms could be improved."

"There are other applications that I've used that make collecting the data and interpreting it a lot easier."

"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."

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

"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

"Data visualization needs improvement."

"KNIME is not good at visualization."

More KNIME Business Hub cons

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

"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."

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

"With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations."

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

"SAS is very expensive. The challenge with them is that you have to pay for a license with every module you buy."

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

More SAS Analytics cons

Pricing and Cost Advice

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

"This is a free open-source solution."

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

"It is free of cost. It is GNU licensed."

"It is expensive to procure the license."

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

"The price for Knime is okay."

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

More KNIME Business Hub pricing and cost advice

"Prices were comparable with alternative solutions."

"Licensing was rather straightforward."

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

"Setup costs were quite reasonable."

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

"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."

More SAS Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

University

Manufacturing Company

Outsourcing Company

Financial Services Firm

23%

Outsourcing Company

14%

University

12%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	16
Large Enterprise	35

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	11

Questions from the Community

What needs improvement with KNIME?

See all answers

What is your primary use case for KNIME?

I used KNIME Business Hub in my previous role for approximately six months, from April to September 2025. The primary use case for KNIME Business Hub was creating an ETL flow for the HR team that g...

See all answers

What advice do you have for others considering KNIME?

Regarding concrete examples of metrics or results obtained with KNIME Business Hub, we definitely saved a lot in terms of time and productivity. The work was also much more fluid and activities wer...

See all answers

What needs improvement with SAS Analytics?

With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations. Many other software...

See all answers

What is your primary use case for SAS Analytics?

I work with SAS Analytics solutions, specifically with SAS Data Mining, because I extract information from the core system of the bank via ODBC connections and use SAS Base on the servers. I am the...

See all answers

What is your experience regarding pricing and costs for SAS Analytics?

As a student, I do not pay anything for pricing; my college gives me credentials, and SAS Analytics is free for students, so the licensing is also free. Thus, SAS Analytics for students is very good.

See all answers

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Compared 14% of the time

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Compared 12% of the time

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Compared 11% of the time

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Compared 9% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

October 2026

Download KNIME Business Hub product report

Buyer's Guide

SAS Analytics

October 2026

Download SAS Analytics product report

Also Known As

KNIME Analytics Platform

No data available

Overview

KNIME Business Hub combines user-friendly and no-code capabilities, supporting workflow automation, data preparation, and ETL processes. It's an excellent choice for both technical and non-technical teams needing efficient data analysis and management.

KNIME Business Hub is designed for those who require seamless integration with R and Python. It supports data visualization, machine learning, and text analytics, enhancing collaboration and workflow sharing. The centralized management system improves productivity and governance. However, users desire better data visualization and integration with popular tools and cloud platforms. Access to comprehensive documentation and training, improved scalability, and better handling of large datasets are noted areas for development. Users frequently employ it for tasks like data extraction, transformation, and automation across SQL databases and Excel.

What are the key features?

User-Friendly Interface: Simplifies complex tasks without coding.
Integration with R and Python: Flexibility in programming options.
Data Visualization: Aids in insightful analysis.
Workflow Automation: Increases operational efficiency.
No-Code Capabilities: Empowers non-technical users to build workflows.

What benefits can users expect?

Enhanced Efficiency: Collaboration features save time.
Improved Governance: Centralized management streamlines processes.
Increased Productivity: Automation accelerates tasks completion.
Simplified Complex Tasks: Extensive library and nodes availability.
Flexibility in Integration: Supports diverse application needs.

KNIME Business Hub sees widespread use in industries such as revenue management, engineering, education, and enterprise-level data analytics. Its visual interface allows teams to design complex workflows easily and deploy models without extensive coding, supporting diverse data processing and analytics tasks.

Knime

SAS Analytics offers a powerful suite of tools for statistical analysis, predictive analytics, and data handling, making it ideal for industries requiring robust data-driven decisions. Its extensive capabilities cater to professionals familiar with SQL and demand forecasting needs across sectors.

With a strong presence in analytics, SAS Analytics provides a seamless experience for data preparation, exploration, and reporting. Users benefit from its ability to handle large data sets, generate interactive reports, and integrate with multiple platforms. Despite its high costs and need for improved visualization and natural language querying, SAS Analytics remains a favored choice for those requiring comprehensive statistical modeling and risk analytics. Enhancing self-service analytics and accelerating support response times are areas of needed improvement. Companies use it extensively for business intelligence and demand forecasting, particularly in sectors like banking and financial services.

What are the key features of SAS Analytics?

Interactive Reports: Embeds intuitive and engaging reports.
Extensive Analytics Functions: Offers a wide range of analytics capabilities.
SQL Compatibility: Streamlines use for SQL-proficient users.
Predictive Analytics: Enhances analysis with SAS E-Miner.
Automation: Utilizes macros for automated tasks.
Large Data Handling: Manages extensive data effectively.

What benefits can users look for in reviews?

Increased Productivity: Saves time with automation and efficient data processing.
Enhanced Efficiency: Direct data source connections streamline workflows.
Versatility: Adapts to diverse analytical and reporting requirements.
Comprehensive Resources: Provides extensive help and support materials.

SAS Analytics is widely implemented in industries for tasks like national auto insurance pricing, financial replication, and marketing analytics. Teams in banking and financial services apply it for quantitative analyses, risk assessments, and generating detailed operational reports, demonstrating its adaptability and strength in handling complex data scenarios.

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

November 2026

Free Report: KNIME Business Hub vs. SAS Analytics

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