Mike TurekVice President, Business Analysis & Performance at Starboard Cruise Services
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Ability to pull together multiple sources of information."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"The most valuable feature is the ability to handle large data sets."
"The technical support is okay."
"It's very easy to use once you learn it."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"There are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"This solution should be made more user-friendly."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"The installation could also be easier, and the price could be better."
"The solution is priced well."
"I think that the cost-benefit ratio is okay."
"SAS is very expensive."
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.
Oracle Advanced Analytics is ranked 7th in Data Mining with 3 reviews while SAS Analytics is ranked 6th in Data Mining with 3 reviews. Oracle Advanced Analytics is rated 8.6, while SAS Analytics is rated 9.0. The top reviewer of Oracle Advanced Analytics writes "Great ability to pull together multiple sources of information, simple for non-technical users ". On the other hand, the top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". Oracle Advanced Analytics is most compared with IBM SPSS Statistics, OpenText Magellan Text Mining, Weka, IBM SPSS Modeler and KNIME, whereas SAS Analytics is most compared with KNIME, IBM SPSS Modeler, IBM Watson Explorer, SAS Enterprise Miner and Weka. See our Oracle Advanced Analytics vs. SAS Analytics report.
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