Compare Oracle Advanced Analytics vs. SAS Enterprise Miner

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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:

Pros
"Ability to pull together multiple sources of information."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.""The most valuable feature is the decision tree creation.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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

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"The user interface of the solution needs improvement. It needs to be more visual.""The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""The ease of use can be improved. When you are new it seems a bit complex.""The visualization of the models is not very attractive, so the graphics should be improved.""Technical support could be improved.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

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Pricing and Cost Advice
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"This solution is for large corporations because not everybody can afford it."

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Top Answer: The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
Top Answer: The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component… more »
Top Answer: The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
Ranking
6th
out of 15 in Data Mining
Views
797
Comparisons
563
Reviews
1
Average Words per Review
689
Rating
9.0
5th
out of 15 in Data Mining
Views
3,654
Comparisons
2,770
Reviews
9
Average Words per Review
391
Rating
7.4
Popular Comparisons
Compared 12% of the time.
Compared 10% of the time.
Compared 8% of the time.
Also Known As
OAAEnterprise Miner
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Oracle
SAS
Overview

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. 

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about Oracle Advanced Analytics
Learn more about SAS Enterprise Miner
Sample Customers
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider17%
Financial Services Firm16%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company30%
Financial Services Firm9%
Comms Service Provider9%
Media Company7%
Company Size
REVIEWERS
Small Business57%
Midsize Enterprise29%
Large Enterprise14%
REVIEWERS
Small Business18%
Midsize Enterprise36%
Large Enterprise45%
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: January 2021.
455,301 professionals have used our research since 2012.

Oracle Advanced Analytics is ranked 6th in Data Mining with 1 review while SAS Enterprise Miner is ranked 5th in Data Mining with 9 reviews. Oracle Advanced Analytics is rated 9.0, while SAS Enterprise Miner is rated 7.4. The top reviewer of Oracle Advanced Analytics writes "Great ability to pull together multiple sources of information, simple for non-technical users ". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Statistics, OpenText Magellan Text Mining and Weka, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, KNIME and Amazon SageMaker.

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