KNIME vs. SAS Enterprise Miner

KNIME is ranked 2nd in Data Mining with 10 reviews vs SAS Enterprise Miner which is ranked 3rd in Data Mining with 1 review. 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". The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". KNIME is most compared with Weka, RapidMiner and Alteryx. SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and Microsoft Azure Machine Learning Studio.
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Quotes From Members Comparing KNIME vs. SAS Enterprise Miner

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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.It is free of cost. It is GNU licensed.

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305,918 professionals have used our research since 2012.
Ranking
Views
15,232
Comparisons
10,051
Reviews
10
Followers
333
Avg. Rating
8.5
Views
7,148
Comparisons
4,051
Reviews
1
Followers
261
Avg. Rating
7.0
Unranked
In Data Mining
Top Comparisons
Compared 26% of the time.
Compared 17% of the time.
Compared 16% of the time.
See more KNIME competitors »
Compared 14% of the time.
See more SAS Enterprise Miner competitors »
Compared 29% of the time.
Also Known As
KNIME Analytics PlatformEnterprise Miner
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Knime
SAS
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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 Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
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Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AGGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
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Top Industries
VISITORS READING REVIEWS
Comms Service Provider
23%
Financial Services Firm
16%
University
15%
Transportation Company
7%
VISITORS READING REVIEWS
Financial Services Firm
30%
University
11%
Non Tech Company
11%
Insurance Company
7%
No Data Available
Company Size
REVIEWERS
Small Business
22%
Midsize Enterprise
33%
Large Enterprise
44%
VISITORS READING REVIEWS
Small Business
15%
Midsize Enterprise
14%
Large Enterprise
71%
VISITORS READING REVIEWS
Small Business
19%
Midsize Enterprise
25%
Large Enterprise
56%
No Data Available
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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.

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