Oracle Advanced Analytics vs SAS Enterprise Miner comparison

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593 views|392 comparisons
55% willing to recommend
SAS Logo
468 views|389 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Advanced Analytics and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Advanced Analytics vs. SAS Enterprise Miner Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment.""The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.""Ability to pull together multiple sources of information.""When needed, we will work closely with Oracle support and implement their workaround in our application."

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"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.""The technical support is very good.""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 solution is very good for data mining or any mining issues.""he solution is scalable.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques.""There are some transactions we have not been able to find through the dashboard.""One area for product improvement is the user experience, particularly when navigating through screens.""Could use some refinement getting things that are not standard cloud applications, but more customized."

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"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.""Technical support could be improved.""The initial setup is challenging if doing it for the first time.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""The solution is much more complex than other options.""The user interface of the solution needs improvement. It needs to be more visual.""The product must provide better integration with cloud-native technologies.""Virtualization could be much better."

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Pricing and Cost Advice
  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    Questions from the Community
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    Top Answer:I like the way the product visually shows the data pipeline.
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pricing… more »
    Top Answer:The product must provide better integration with cloud-native technologies.
    Ranking
    6th
    out of 18 in Data Mining
    Views
    593
    Comparisons
    392
    Reviews
    1
    Average Words per Review
    322
    Rating
    9.0
    7th
    out of 18 in Data Mining
    Views
    468
    Comparisons
    389
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    OAA
    Enterprise Miner
    Learn More
    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.
    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
    Government15%
    Manufacturing Company13%
    University13%
    Computer Software Company12%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    University13%
    Educational Organization8%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business70%
    Midsize Enterprise20%
    Large Enterprise10%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    Buyer's Guide
    Oracle Advanced Analytics vs. SAS Enterprise Miner
    May 2024
    Find out what your peers are saying about Oracle Advanced Analytics vs. SAS Enterprise Miner and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Oracle Advanced Analytics is ranked 6th in Data Mining with 9 reviews while SAS Enterprise Miner is ranked 7th in Data Mining with 13 reviews. Oracle Advanced Analytics is rated 8.2, while SAS Enterprise Miner is rated 7.6. The top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". Oracle Advanced Analytics is most compared with IBM SPSS Statistics and Weka, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and KNIME. See our Oracle Advanced Analytics vs. SAS Enterprise Miner report.

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    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.