Compare Oracle Advanced Analytics vs. SAS Enterprise Miner
Oracle Advanced Analytics is ranked 8th in Data Mining while SAS Enterprise Miner is ranked 6th in Data Mining with 6 reviews. Oracle Advanced Analytics is rated 0, while SAS Enterprise Miner is rated 7.6. On the other hand, the top reviewer of SAS Enterprise Miner writes "Good stability, very good data analysis tool pack and excellent documentation". Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Statistics and SAS Enterprise Miner, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME.
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Information Not Available | This solution is for large corporations because not everybody can afford it. |
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Ranking  | |
Views 865 Comparisons 629 Reviews 0 Average Words per Review 0 Avg. Rating N/A | Views 4,615 Comparisons 3,486 Reviews 5 Average Words per Review 375 Avg. Rating 7.4 |
Top Comparisons | |
 Compared 27% of the time.  Compared 17% of the time. Compared 16% of the time. | Compared 17% of the time.  Compared 12% of the time.  Compared 8% of the time. |
Also Known As | |
| OAA | Enterprise Miner |
Learn | |
| 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 | |
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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 |
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: February 2020.
398,890 professionals have used our research since 2012.
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