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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 #6 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
March 2026
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Oracle Advanced Analytics mindshare

As of March 2026, the mindshare of Oracle Advanced Analytics in the Data Mining category stands at 4.8%, up from 4.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
Oracle Advanced Analytics4.8%
IBM SPSS Modeler18.9%
IBM SPSS Statistics18.3%
Other58.0%
Data Mining

PeerResearch reports based on Oracle Advanced Analytics reviews

TypeTitleDate
CategoryData MiningMar 28, 2026Download
ProductReviews, tips, and advice from real usersMar 28, 2026Download
ComparisonOracle Advanced Analytics vs KNIME Business HubMar 28, 2026Download
ComparisonOracle Advanced Analytics vs IBM SPSS StatisticsMar 28, 2026Download
ComparisonOracle Advanced Analytics vs IBM SPSS ModelerMar 28, 2026Download
Suggested products
TitleRatingMindshareRecommending
KNIME Business Hub4.112.8%94%60 interviewsAdd to research
IBM SPSS Statistics4.118.3%89%40 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.
  • "When it comes to data mining, I am acquainted with most or all of the Oracle tools and have had a positive experience with them."
  • "Oracle is number one in the world for security, safety, and privacy."
  • "One of the valuable features is the ability to pull together multiple sources of information and the tools are easy to use which is the main factor."

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.
  • "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."
  • "I would like to see an improvement in the ease of implementing customized data sources and the like."

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

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Data Mining

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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.
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.
OBIEE/ODI senior consultant at Kastech3.5I use Oracle BI, ODI, and OBIA, but find performance, scalability, and data distribution are significant issues needing improvement. I appreciate working with Oracle support on workarounds, though each new project starts from scratch. I rate it 7/10.
Director : Oracle GRC at Technology Risk Partners5.0I find this solution very good; its intuitive dashboard yields excellent results and performance, and it's stable. My main issues are sometimes not finding transactions and scalability beyond 65,000 users due to memory errors.
Customer Interaction Consultant at Dulaney Consulting Associates LLC4.5As a consultant, I value this solution's ease of use for non-technical people to pull diverse information. It’s stable and scalable with good support. I’d like better integration for customized data sources, but overall, I rate it 9/10.
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 employees5.0I find Oracle Data Mining powerful for insights and predictive models, integrating them easily into SQL for predictions. However, it struggles with huge datasets and statistical processing, making performance benchmarks difficult.