OpenText Magellan Text Mining vs Oracle Advanced Analytics comparison

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Executive Summary

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.
To learn more, read our detailed Data Mining Report (Updated: November 2022).
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Top Answer:The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.
Top Answer:I know the company has both enterprise-level pricing and pay-as-you-go type pricing, like any of the cloud-based network solutions. You have to manage your pricing based on the number of users and how… more »
Top Answer:There are some transactions we have not been able to find through the dashboard.
Ranking
12th
out of 15 in Data Mining
Views
109
Comparisons
61
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 15 in Data Mining
Views
854
Comparisons
602
Reviews
2
Average Words per Review
269
Rating
8.5
Comparisons
Also Known As
OAA
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Overview

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. 

Offer
Learn more about OpenText Magellan Text Mining
Learn more about Oracle Advanced Analytics
Sample Customers
TORA Trading Services, North Star BlueScope Steel, Eldorado Computing, Linkaform, MOBIS Parts Australia, Storengy Engie, Delta RM, Knorr-Bremse Group, KMD, APP Corporation, Westpac Banking Corporation
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company17%
Comms Service Provider15%
Financial Services Firm9%
Government9%
Company Size
No Data Available
REVIEWERS
Small Business67%
Midsize Enterprise22%
Large Enterprise11%
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise20%
Large Enterprise67%
Buyer's Guide
Data Mining
November 2022
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: November 2022.
653,757 professionals have used our research since 2012.

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.

See our list of best Data Mining vendors.

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.