Oracle Advanced Analytics Reviews

Name: Oracle Advanced Analytics
Brand: Oracle
Rating: 4.1 (9 reviews)

4.1 out of 5

9 reviews
55% willing to recommend

1,653 followers

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 8.2 out of 10. Oracle Advanced Analytics is most commonly compared to KNIME: Oracle Advanced Analytics vs KNIME. Oracle Advanced Analytics is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a government, accounting for 17% of all views.

Buyer's Guide

Oracle Advanced Analytics

May 2025

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Featured Oracle Advanced Analytics reviews

Alejandro Merida

Enterprise Solutions Architect at CONTPAQi

Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years The platform's most valuable features are the efficient organization of data and the ability to extract specific insights for predictive analysis. One area for…

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Amarnath K

OBIEE/ODI senior consultant at Kastech

The scalability should be addressed. When it comes to scalability, we require an area of application, meaning we need to maintain things in different application servers and to do so for certain agents, like network distribution. This means that when the issue comes in on the server, it will immediately be picked up from other servers and some clustering techniques will be maintained.

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Richard Dulaney

Customer Interaction Consultant at Dulaney Consulting Associates LLC

I would like to see some refinement in the area of getting things that are not standard cloud applications, but are rather more customized. That's where some of the non-technical people trigger up and ask: "How can we have a local database or a private database, or huge Excel spreadsheets that need to be transformed?" A lot of the database ETL stuff that's behind the scenes is just about getting that stuff out. I think Oracle Analytics is working toward refining a lot of that, so that it requires less technical expertise to incorporate that kind of data source. It's really about initially setting it up and adding to it. As you start new campaigns, you can run across new sources of information. Not everything is in salesforce.com. I would like to see an improvement in the ease of implementing customized data sources and the like. I would suspect Oracle has other things in the works along those lines. They're constantly trying to refine and improve their products.

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Oracle Advanced Analytics mindshare

As of June 2025, the mindshare of Oracle Advanced Analytics in the Data Mining category stands at 4.2%, down from 4.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Mining

PeerResearch reports based on Oracle Advanced Analytics reviews

Type	Title	Date
Category	Data Mining	Jun 15, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 15, 2025	Download
Comparison	Oracle Advanced Analytics vs KNIME	Jun 15, 2025	Download
Comparison	Oracle Advanced Analytics vs Weka	Jun 15, 2025	Download
Comparison	Oracle Advanced Analytics vs IBM SPSS Statistics	Jun 15, 2025	Download

Title	Rating	Mindshare	Recommending
KNIME	4.1	24.7%	94%	60 interviews Add to research
IBM SPSS Statistics	4.0	16.6%	88%	38 interviews Add to research

Valuable Features

Oracle Advanced Analytics offers data mining functionality enabling database activity modeling and fraud prevention. Users appreciate the intuitive dashboard for visual data representation, allowing data integration from multiple sources. It supports predictive model creation with more than ten algorithms included in SQL queries. The tool excels in ease of use, ensuring quick adaptation for non-technical users. High performance and efficient data organization facilitate extracting specific insights for improved business intelligence.

"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 requires enhancements in data loading and cleansing time due to separate database needs. Licensing is complex with various options within the OLAP suite. Basic capabilities fall short of expectations, and handling large datasets proves challenging. Performance benchmarks are difficult, particularly in data mining. Improvements are needed in integrating customized data sources and enhancing user experience on Windows, as well as refining performance, scalability, and query handling to better accommodate non-standard applications.

"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."

Scalability

Oracle Advanced Analytics exhibits a high degree of scalability, particularly within the Oracle cloud infrastructure. It supports extensive user bases but may encounter issues with memory constraints. Companies find it effective for maintaining application servers and clustering techniques. Executives and data professionals use it extensively, suggesting its capability to handle complex data analysis tasks efficiently.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Government

17%

Computer Software Company

15%

Educational Organization

13%

Manufacturing Company

13%

Financial Services Firm

University

Insurance Company

Non Profit

Logistics Company

Energy/Utilities Company

Hospitality Company

Legal Firm

Comms Service Provider

Non Tech Company

Outsourcing Company

Real Estate/Law Firm

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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.