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Oracle Advanced Analytics Reviews

Vendor: Oracle
4.0 out of 5
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What is Oracle Advanced Analytics?

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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Oracle Advanced Analytics is the #7 ranked solution in top Data Mining solutions. PeerSpot users give Oracle Advanced Analytics an average rating of 8.0 out of 10. Oracle Advanced Analytics is most commonly compared to KNIME Business Hub: Oracle Advanced Analytics vs KNIME Business Hub.
Buyer's Guide
Oracle Advanced Analytics
August 2025
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Oracle Advanced Analytics mindshare

As of September 2025, the mindshare of Oracle Advanced Analytics in the Data Mining category stands at 4.9%, up from 4.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
Oracle Advanced Analytics4.9%
KNIME Business Hub22.1%
IBM SPSS Modeler15.7%
Other57.3%
Data Mining

PeerResearch reports based on Oracle Advanced Analytics reviews

TypeTitleDate
CategoryData MiningSep 1, 2025Download
ProductReviews, tips, and advice from real usersSep 1, 2025Download
ComparisonOracle Advanced Analytics vs KNIME Business HubSep 1, 2025Download
ComparisonOracle Advanced Analytics vs IBM SPSS StatisticsSep 1, 2025Download
ComparisonOracle Advanced Analytics vs WekaSep 1, 2025Download
Suggested products
TitleRatingMindshareRecommending
KNIME Business Hub4.122.1%94%60 interviewsAdd to research
IBM SPSS Statistics4.014.8%88%39 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Oracle Advanced Analytics offers features like data mining via Oracle Data Mining, enabling users to model database activities for fraud prevention and create predictive models with analytical functions. It simplifies data integration from multiple sources and is user-friendly for non-technical individuals. The intuitive dashboard enhances interaction and results. It efficiently organizes data, extracts insights for predictive analysis, and integrates with existing tools. Customization capabilities improve centralized report creation and reduce reliance on Excel and custom solutions.
  • "Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
  • "When needed, we will work closely with Oracle support and implement their workaround in our application."
  • "The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

Room for Improvement

Oracle Advanced Analytics users suggest improvements in data loading and cleansing due to the need for a separate database. Licensing complexities and user experience, particularly on Windows, require attention as the interface is deemed complex. Performance issues arise in handling large data sets, and customization options are limited. Scalability and query performance need addressing, and making the tool more intuitive for non-technical users is advised for easier deployment and integration of varied data sources.
  • "One area for product improvement is the user experience, particularly when navigating through screens."
  • "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."

Pricing

  • "The solution is priced well."

Popular Use Cases

Oracle Advanced Analytics is primarily used by organizations for analyzing and managing extensive data lakes accumulated over decades. Users rely on it to deploy and deliver data-driven dashboards and reports to end-users. The tool assists in consolidating various information sources for purposes like marketing and cost analysis in cloud settings. It serves consultancies and others transitioning to environments requiring efficient management and security practices.

Service and Support

Oracle Advanced Analytics customer support is described as effective by users. Teams first try to resolve issues internally and contact Oracle support when necessary. Interaction with Oracle support is characterized by coordination and collaboration, ensuring issues are addressed successfully. Users note that support experiences vary, with some interactions rated highly while others may differ. Overall, users rate their experience positively, highlighting the technical support as competent and helpful when engaged.

Scalability

Oracle Advanced Analytics demonstrates high scalability within Oracle cloud environments, constrained by memory and buffer limitations beyond a specific user threshold. Managing scalability effectively requires various application servers and clustering techniques for network distribution. Users categorize its scalability highly, with many employing it for data analysis. Its robust functionality supports multiple users, enhancing analysis efficiency significantly.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Learn more about Oracle Advanced Analytics

Oracle Advanced Analytics was previously known as OAA.

Oracle Advanced Analytics customers

Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.

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Product Categories

Product Categories
Data Mining

Popular Comparisons

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Oracle Advanced Analytics Reviews Summary
Author infoRatingReview Summary
External Consultant at a consultancy with 51-200 employees3.5I've used Oracle Advanced Analytics for over a decade to centralize reporting and dashboards, but while its integration and customization are strong, the interface is complex and setup requires significant configuration due to organizational and security needs.
OBIEE/ODI senior consultant at Kastech3.5No summary available
Enterprise Solutions Architect at CONTPAQi4.5We use Oracle Advanced Analytics to manage and analyze data lakes accumulated over 40 years. Its efficient data organization and predictive insights are valuable, but the user experience could improve, especially during navigation. We switched from AWS due to cost.
Customer Interaction Consultant at Dulaney Consulting Associates LLC4.5No summary available
Director : Oracle GRC at Technology Risk Partners5.0No summary available
CEO with 1,001-5,000 employeesNo summary available
Consultant with 51-200 employeesNo summary available
IT Administrator at a tech services company with 501-1,000 employees5.0No summary available