Compare IBM SPSS Modeler vs. Oracle Advanced Analytics

IBM SPSS Modeler is ranked 2nd in Data Mining with 17 reviews while Oracle Advanced Analytics is ranked 9th in Data Mining. IBM SPSS Modeler is rated 8.2, while Oracle Advanced Analytics is rated 0. The top reviewer of IBM SPSS Modeler writes "Ease of use, the user interface, is the best part; the ability to customize streams with R and Python is useful". On the other hand, IBM SPSS Modeler is most compared with KNIME, Alteryx and IBM Watson Studio, whereas Oracle Advanced Analytics is most compared with SAS Analytics, SAS Enterprise Miner 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
When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount.It got us a good amount of money with quick and efficient modeling.The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool.It is a huge increase to time savings.

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391,045 professionals have used our research since 2012.
Ranking
2nd
out of 16 in Data Mining
Views
9,561
Comparisons
7,362
Reviews
17
Average Words per Review
496
Avg. Rating
8.2
9th
out of 16 in Data Mining
Views
879
Comparisons
640
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 19% of the time.
Compared 15% of the time.
Also Known As
SPSS ModelerOAA
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IBM
Oracle
Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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https://www.ibm.com/products/spss-modeler/pricing
 
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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


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
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Top Industries
REVIEWERS
Financial Services Firm24%
University14%
Manufacturing Company14%
Government10%
VISITORS READING REVIEWS
Software R&D Company22%
Financial Services Firm12%
Government11%
Comms Service Provider10%
No Data Available
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: January 2020.
391,045 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.