Compare IBM Smart Analytics vs. Oracle Advanced Analytics

IBM Smart Analytics is ranked 12th in Data Mining while Oracle Advanced Analytics is ranked 8th in Data Mining. IBM Smart Analytics is rated 0, while Oracle Advanced Analytics is rated 0. On the other hand, IBM Smart Analytics is most compared with , whereas Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Statistics, Weka, SAS Enterprise Miner and KNIME.
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Ranking
12th
out of 16 in Data Mining
Views
107
Comparisons
44
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
8th
out of 16 in Data Mining
Views
806
Comparisons
576
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Popular Comparisons
Compared 13% of the time.
Compared 11% of the time.
Also Known As
Smart AnalyticsOAA
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Oracle
Overview
The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.

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. 

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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2020.
430,376 professionals have used our research since 2012.

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