Compare Oracle Advanced Analytics vs. SAS Enterprise Miner

Oracle Advanced Analytics is ranked 9th in Data Mining while SAS Enterprise Miner which is ranked 4th in Data Mining with 1 review. Oracle Advanced Analytics is rated 0, while SAS Enterprise Miner is rated 7.0. On the other hand, the top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Modeler and IBM SPSS Statistics, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME.

Oracle Advanced Analytics

SAS Enterprise Miner

Oracle Advanced Analytics

3,133 views|769 comparisons

SAS Enterprise Miner

Read 1 SAS Enterprise Miner review.

8,646 views|3,874 comparisons

Most Helpful Review

Use Oracle Advanced Analytics? Share your opinion.

V Shekhar Avasthy

Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data at a consultancy

Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback

Using Base SAS, one can do statistical analysis of data. However, Base SAS is completely code driven (doesn't have any GUI). This is a big... Read more »

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Ranking
9th out of 16 in Data Mining Views 3,133 Comparisons 769 Reviews 0 Average Words per Review 0 Avg. Rating N/A	4th out of 16 in Data Mining Views 8,646 Comparisons 3,874 Reviews 1 Average Words per Review 484 Avg. Rating 7.0
Top Comparisons
SAS Analytics vs. Oracle Advanced Analytics Compared 27% of the time. IBM SPSS Modeler vs. Oracle Advanced Analytics Compared 20% of the time. IBM SPSS Statistics vs. Oracle Advanced Analytics Compared 16% of the time. See more Oracle Advanced Analytics competitors » + Add more products to compare	IBM SPSS Modeler vs. SAS Enterprise Miner Compared 21% of the time. RapidMiner vs. SAS Enterprise Miner Compared 11% of the time. KNIME vs. SAS Enterprise Miner Compared 9% of the time. See more SAS Enterprise Miner competitors » + Add more products to compare
Also Known As
OAA	Enterprise Miner
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Oracle	SAS
Overview
Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.	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.
Offer
Learn more about Oracle Advanced Analytics Learn More	Learn more about SAS Enterprise Miner Learn More
Sample Customers
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.	Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.

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360,582 professionals have used our research since 2012.

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.