IBM Smart Analytics vs Oracle Advanced Analytics comparison

Cancel
You must select at least 2 products to compare!
IBM Logo
78 views|31 comparisons
100% willing to recommend
Oracle Logo
618 views|407 comparisons
50% willing to recommend
Executive Summary

We performed a comparison between IBM Smart Analytics and Oracle Advanced Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
Ranking
13th
out of 18 in Data Mining
Views
78
Comparisons
31
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 18 in Data Mining
Views
618
Comparisons
407
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
768,740 professionals have used our research since 2012.
Comparisons
Also Known As
Smart Analytics
OAA
Learn More
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. 

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.
Top Industries
No Data Available
VISITORS READING REVIEWS
Government15%
Manufacturing Company13%
University13%
Computer Software Company12%
Company Size
No Data Available
REVIEWERS
Small Business70%
Midsize Enterprise20%
Large Enterprise10%
VISITORS READING REVIEWS
Small Business21%
Midsize Enterprise11%
Large Enterprise68%
Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
768,740 professionals have used our research since 2012.

IBM Smart Analytics is ranked 13th in Data Mining while Oracle Advanced Analytics is ranked 7th in Data Mining. IBM Smart Analytics is rated 7.0, while Oracle Advanced Analytics is rated 8.0. The top reviewer of IBM Smart Analytics writes "Adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points. The visual presentation layer of LA is less than cutting edge". On the other hand, the top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". IBM Smart Analytics is most compared with , whereas Oracle Advanced Analytics is most compared with IBM SPSS Statistics and Weka.

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.