Compare IBM SPSS Statistics vs. Oracle Advanced Analytics

Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use Oracle Advanced Analytics? Share your opinion.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: August 2020.
437,168 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
It is a modeling tool with helpful automation.The features that I have found most valuable are the Bayesian statistics and descriptive statistics.Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.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.The most valuable feature is the user interface because you don't need to write code.It has the ability to easily change any variable in our research.

More IBM SPSS Statistics Pros »

Ability to pull together multiple sources of information.

More Oracle Advanced Analytics Pros »

Cons
It could allow adding color to data models to make them easier to interpret.It could provide even more in the way of automation as there are many opportunities.I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that.One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated.The solution needs more planning tools and capabilities.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.This solution is not suitable for use with Big Data.

More IBM SPSS Statistics Cons »

Could use some refinement getting things that are not standard cloud applications, but more customized.

More Oracle Advanced Analytics Cons »

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

More IBM SPSS Statistics Pricing and Cost Advice »

Information Not Available
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
437,168 professionals have used our research since 2012.
Questions from the Community
Top Answer: The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.
Top Answer: We have an enterprise-level license with IBM.
Top Answer: The data preparation skills need improvement. When I compare the solution with other tools or competitors, this solution needs to simplify data preparation. The solution needs more planning tools and… more »
Ask a question

Earn 20 points

Ranking
2nd
out of 16 in Data Mining
Views
3,675
Comparisons
2,910
Reviews
13
Average Words per Review
778
Avg. Rating
7.9
5th
out of 16 in Data Mining
Views
795
Comparisons
569
Reviews
1
Average Words per Review
689
Avg. Rating
9.0
Popular Comparisons
Compared 13% of the time.
Compared 12% of the time.
Compared 11% of the time.
Also Known As
SPSS StatisticsOAA
Learn
IBM
Oracle
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
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company25%
K 12 Educational Company Or School14%
Comms Service Provider13%
Media Company8%
No Data Available
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: August 2020.
437,168 professionals have used our research since 2012.
IBM SPSS Statistics is ranked 2nd in Data Mining with 13 reviews while Oracle Advanced Analytics is ranked 5th in Data Mining with 1 review. IBM SPSS Statistics is rated 8.0, while Oracle Advanced Analytics is rated 9.0. 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, MathWorks Matlab, Weka, TIBCO Statistica and Dataiku Data Science Studio, whereas Oracle Advanced Analytics is most compared with SAS Analytics, Weka, KNIME, OpenText Magellan Text Mining and SAS Enterprise Miner.

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.