We performed a comparison between OpenText Magellan Text Mining and Oracle Advanced Analytics based on real PeerSpot user reviews.Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.
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OpenText Magellan Text Mining transforms data into insights for better decision-making and information management while freeing up resources and time. By some estimates, as much as 71% of enterprises are struggling with how to manage and protect unstructured data.1 Magellan Text Mining enables enterprises to understand the context and information locked in high volumes of content at scale.
With Magellan Text Mining, information governance is more accurate and efficient, cutting down on redundant, obsolete or trivial information and extending the lifespan of useful data.
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.
OpenText Magellan Text Mining is ranked 12th in Data Mining while Oracle Advanced Analytics is ranked 7th in Data Mining with 2 reviews. OpenText Magellan Text Mining is rated 0.0, while Oracle Advanced Analytics is rated 8.6. On the other hand, the top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". OpenText Magellan Text Mining is most compared with , whereas Oracle Advanced Analytics is most compared with IBM SPSS Statistics, SAS Analytics, Weka, IBM SPSS Modeler and KNIME.
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