Compare IBM SPSS Statistics vs. Oracle Advanced Analytics

IBM SPSS Statistics is ranked 6th in Data Mining with 4 reviews while Oracle Advanced Analytics which is ranked 9th in Data Mining. IBM SPSS Statistics is rated 6.8, while Oracle Advanced Analytics is rated 0. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka, whereas Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Modeler and IBM SPSS Statistics.
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Most Helpful Review
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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
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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Ranking
6th
out of 16 in Data Mining
Views
6,716
Comparisons
3,054
Reviews
4
Average Words per Review
266
Avg. Rating
6.8
9th
out of 16 in Data Mining
Views
3,133
Comparisons
769
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 10% of the time.
Also Known As
SPSS StatisticsOAA
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Overview
Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.

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. 

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Sample Customers
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.
359,658 professionals have used our research since 2012.
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.
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