Oracle Advanced Analytics Review

Powerful, but problems with huge data sets

Valuable Features:

• Oracle Data Mining provides a powerful functionality as it enables users to discover new insights hidden in data. • It enables building of predictive models. • Its model can be included in SQL queries and entrenched in applications to offer improved business intelligence. • It has more than ten data mining algorithms that can be used in data mining.

Room for Improvement:

• Problems in handling huge data sets • Cannot be used to process statistical data • Performance benchmarks are difficult in data mining

Other Advice:

I use the models of this product to derive predictions and descriptions of behavior from the database system. It eases work of moving data from relational tables into the analytical workbenches. It simplifies model implementation by submitting Oracle SQL functions to score data stored within the database.
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
More Oracle Advanced Analytics reviews from users
Find out what your peers are saying about Oracle, SAS, IBM and others in Data Mining. Updated: May 2021.
479,323 professionals have used our research since 2012.
Add a Comment
1 Comment

author avatarit_user3876 (Database Manager at a tech services company with 501-1,000 employees)

Oracle is actually meant for handling trillion size of data, so there must not be a problem of huge data sets handling.