Compare KNIME vs. SAS Analytics

KNIME is ranked 1st in Data Mining with 10 reviews while SAS Analytics is ranked 4th in Data Mining with 5 reviews. KNIME is rated 8.4, while SAS Analytics is rated 9.6. The top reviewer of KNIME writes "Our average record size was around 10 million records. If we have bigger data, we can opt for a Big Data extension for Hadoop, Spark, etc". On the other hand, the top reviewer of SAS Analytics writes "It provides virtually everything we need to continuously improve our accuracy". KNIME is most compared with Alteryx, RapidMiner and Weka, whereas SAS Analytics is most compared with KNIME, IBM SPSS Modeler and Weka. See our KNIME vs. SAS Analytics report.
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KNIME Logo
Read 10 KNIME reviews.
21,168 views|16,525 comparisons
SAS Analytics Logo
2,259 views|1,773 comparisons
Most Helpful Review
Find out what your peers are saying about KNIME vs. SAS Analytics and other solutions. Updated: November 2019.
378,950 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
This solution is easy to use and especially good at data preparation and wrapping.It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.Clear view of the data at every step of ETL process enables changing the flow as needed.We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.Easy to connect with every database: We use queries from SQL, Redshift, Oracle.We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.

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The most valuable feature is the ability to handle large data sets.Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features.It has facilitated timely analysis results with quality work and meaningful output.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.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.It is able to connect to all major platforms, and all the smaller platforms that I have come across.It has also been around for an extremely long time, has a strong history, and good market penetration.

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Cons
It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.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.The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.​The data visualization part is the area most in need of improvement.The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.Data visualization needs improvement.I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.

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

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Pricing and Cost Advice
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.

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​The cost for SAS Business Intelligence can prove to be a little prohibitive.​​Setup costs were quite reasonable.Prices were comparable with alternative solutions.Licensing was rather straightforward.It is relatively expensive. It is not an easy software to afford.

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378,950 professionals have used our research since 2012.
Ranking
1st
out of 16 in Data Mining
Views
21,168
Comparisons
16,525
Reviews
10
Average Words per Review
333
Avg. Rating
8.4
4th
out of 16 in Data Mining
Views
2,259
Comparisons
1,773
Reviews
5
Average Words per Review
179
Avg. Rating
9.6
Top Comparisons
Compared 41% of the time.
Compared 14% of the time.
Compared 7% of the time.
Compared 37% of the time.
Compared 24% of the time.
Compared 11% of the time.
Also Known As
KNIME Analytics Platform
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Knime
SAS
Overview
KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.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.
Offer
Learn more about KNIME
Learn more about SAS Analytics
Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AGAegon, 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
Top Industries
VISITORS READING REVIEWS
Software R&D Company23%
Comms Service Provider16%
Manufacturing Company9%
Financial Services Firm8%
No Data Available
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise27%
Large Enterprise45%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise2%
Large Enterprise82%
REVIEWERS
Small Business14%
Midsize Enterprise14%
Large Enterprise71%
Find out what your peers are saying about KNIME vs. SAS Analytics and other solutions. Updated: November 2019.
378,950 professionals have used our research since 2012.
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