Compare IBM SPSS Statistics vs. Oracle Advanced Analytics

Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: June 2021.
512,711 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"Most of the product features are good but I particularly like the linear regression analysis.""Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.""The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.""You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.""They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.""It has the ability to easily change any variable in our research.""The most valuable feature is the user interface because you don't need to write code.""In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

More IBM SPSS Statistics Pros »

"Ability to pull together multiple sources of information.""The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

More Oracle Advanced Analytics Pros »

Cons
"I think the visualization and charting should be changed and made easier and more effective.""Technical support needs some improvement, as they do not respond as quickly as we would like.""The statistics should be more self-explanatory with detailed automated reports.""Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.""The product should provide more ways to import data and export results that are user-friendly for high-level executives.""The design of the experience can be improved.""This solution is not suitable for use with Big Data.""Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

More IBM SPSS Statistics Cons »

"Could use some refinement getting things that are not standard cloud applications, but more customized.""There are some transactions we have not been able to find through the dashboard."

More Oracle Advanced Analytics Cons »

Pricing and Cost Advice
"We think that IBM SPSS is expensive for this function.""The price of this solution is a little bit high, which was a problem for my company.""The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

More IBM SPSS Statistics Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
512,711 professionals have used our research since 2012.
Questions from the Community
Top Answer: You can quickly build models because it does the work for you.
Top Answer: In comparing the price of other products, SPSS Statistics is too expensive. Even when most of the universities in the Middle East have licenses for SPSS Statistics, they do not have licenses for the… more »
Top Answer: The technical support should be improved.
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
2nd
out of 16 in Data Mining
Views
4,039
Comparisons
3,128
Reviews
15
Average Words per Review
720
Rating
7.9
7th
out of 16 in Data Mining
Views
776
Comparisons
564
Reviews
2
Average Words per Review
430
Rating
9.5
Popular Comparisons
Also Known As
SPSS Statistics
OAA
Learn More
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. 

Offer
Learn more about IBM SPSS Statistics
Learn more about Oracle Advanced Analytics
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.
Top Industries
REVIEWERS
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company15%
Educational Organization14%
Government6%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider20%
Financial Services Firm12%
Media Company6%
Company Size
REVIEWERS
Small Business28%
Midsize Enterprise22%
Large Enterprise50%
REVIEWERS
Small Business63%
Midsize Enterprise25%
Large Enterprise13%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: June 2021.
512,711 professionals have used our research since 2012.

IBM SPSS Statistics is ranked 2nd in Data Mining with 15 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining with 2 reviews. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 9.6. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of Oracle Advanced Analytics writes "Great ability to pull together multiple sources of information, simple for non-technical users ". IBM SPSS Statistics is most compared with IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and Google Cloud Datalab, whereas Oracle Advanced Analytics is most compared with SAS Analytics, OpenText Magellan Text Mining, 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.