Oracle Advanced Analytics vs SAS Analytics comparison

Oracle and SAS are both solutions in the Data Mining category. Oracle is ranked #6 with an average rating of 8.0, while SAS is ranked #5 with an average rating of 9.0. Oracle holds a 4.2% mindshare in DM, compared to SAS’s 7.0% mindshare. Additionally, 60% of Oracle users are willing to recommend the solution, compared to 94% of SAS users who would recommend it.

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

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442 Comparison Views

60% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

704 Views
704 Comparison Views

94% willing to recommend

Oracle Advanced Analytics

SAS Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

Oracle Advanced Analytics and SAS Analytics are competing in the analytics software market. SAS Analytics seems to have an upper hand due to its feature richness and versatility, although Oracle offers more favorable pricing and seamless integration with Oracle databases.

Features: Oracle Advanced Analytics provides seamless integration with Oracle databases, efficient SQL-based data processing, and embedding of data mining models in SQL queries. SAS Analytics offers comprehensive statistical capabilities, advanced machine learning algorithms, and robust data handling, making it suitable for complex data analysis tasks.

Room for Improvement: Oracle Advanced Analytics could enhance its statistical analysis tools, improve support for non-Oracle databases, and offer more advanced machine learning features. SAS Analytics may improve in terms of pricing competitiveness, reduce its dependency on technical expertise, and streamline initial setup processes.

Ease of Deployment and Customer Service: Oracle Advanced Analytics provides easy deployment for Oracle-based environments, saving implementation time. SAS Analytics offers flexible deployment options for various environments and superior customer service support, ensuring adaptability and assistance for users.

Pricing and ROI: Oracle Advanced Analytics is more cost-effective for existing Oracle environments, offering a quicker return on investment. SAS Analytics, while higher in cost, provides significant ROI through its advanced analytical capabilities and comprehensive feature set, valued despite the price.

To learn more, read our detailed Oracle Advanced Analytics vs. SAS Analytics Report (Updated: December 2025).

Buyer's Guide

Oracle Advanced Analytics vs. SAS Analytics

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Oracle Advanced Analytics

Ranking in Data Mining

6th

Average Rating

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.2%, up from 3.9% compared to the previous year. The mindshare of SAS Analytics is 7.0%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
SAS Analytics	7.0%
Oracle Advanced Analytics	4.2%
Other	88.8%

Data Mining

Featured Reviews

reviewer2174289

External Consultant at a consultancy with 51-200 employees

Customization and centralization improve efficiency despite complex user interface

The organizational context makes it difficult to deploy Oracle Advanced Analytics because we have all kinds of contract maintenance parties; however, the software installation itself is something we're used to doing, so that's no problem for us. It is not a really easy product to use, so you have to do a lot of configuration. The user interface is somewhat complex, and while they're working on that, for the end-user it is not really intuitive, so that could be improved. Currently, we are not using the predictive analytics capabilities, so I cannot say anything about it.

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Ernesto Tapia

Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca

Automated workflows enhance productivity but could better handle stress tests

I use SAS Analytics in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics for the project roster from Santander, selecting and evaluating credits, and conducting historical research on the reception of contracts to issue securitization…

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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

"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."

"Oracle Advanced Analytics helps us to steer the company, to create centralized reports and dashboards so that we're all using the same information, and we're not relying that much on Excel and different custom reporting solutions."

"When needed, we will work closely with Oracle support and implement their workaround in our application."

"I use it to replicate our entire financial system to verify/duplicate calculations."

"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."

"I use SAS daily to analyze data, produce reports, and other outputs."

"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams."

"It has facilitated timely analysis results with quality work and meaningful output."

"The team immediately resolves the issues."

"The technical support is okay."

More SAS Analytics pros

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."

"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

"The installation could also be easier, and the price could be better."

"I would like to see their interface to R added to either Base SAS or SAS Analytics."

"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

"The natural language querying and automated preparation of dashboards should be improved."

"This solution should be made more user-friendly."

"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."

"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."

More SAS Analytics cons

Pricing and Cost Advice

"The solution is priced well."

"I rate the product’s pricing a one out of ten."

"It is relatively expensive. It is not an easy software to afford."

"Licensing was rather straightforward."

"The cost for SAS Business Intelligence can prove to be a little prohibitive."

"Setup costs were quite reasonable."

"SAS is very expensive."

"Prices were comparable with alternative solutions."

"Our licensing covers the usage for around 50 data analysts."

More SAS Analytics pricing and cost advice

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Comparison Review

it_user7308

Consultant with 51-200 employees

Jun 26, 2013

Oracle Data Mining vs. SAS is like Support Vector Machines vs. Neural Nets

I’m part of a small group of mathematics enthusiasts in Kansas City who meet about once a month on Saturday mornings to drink coffee and discuss mathematics. This past weekend it was my turn to do a presentation to the rest of the group and I chose to speak on the mathematical foundations of the…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

27%

Computer Software Company

12%

University

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	1

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

What is your experience regarding pricing and costs for Oracle Advanced Analytics?

I am currently satisfied with the pricing for Oracle Advanced Analytics. It's a little bit high maybe, but I think it's acceptable.

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What needs improvement with Oracle Advanced Analytics?

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What is your primary use case for Oracle Advanced Analytics?

I currently use the solution just for gathering information, and I'm working on a side project detailing cloud costs. I downloaded the information to get some information about the situation. We ty...

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What do you like most about SAS Analytics?

I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.

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What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

See all answers

What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

See all answers

Comparisons

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Compared 22% of the time

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Compared 18% of the time

Weka vs Oracle Advanced Analytics

Compared 18% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 13% of the time

IBM Watson Explorer vs Oracle Advanced Analytics

Compared 12% of the time

More Oracle Advanced Analytics Competitors

KNIME Business Hub vs SAS Analytics

Compared 26% of the time

IBM SPSS Statistics vs SAS Analytics

Compared 13% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 13% of the time

Lytics Conductor vs SAS Analytics

Compared 10% of the time

IBM Watson Explorer vs SAS Analytics

Compared 7% of the time

More SAS Analytics Competitors

Product Reports

Buyer's Guide

Oracle Advanced Analytics

December 2025

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Buyer's Guide

Data Mining

December 2025

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Also Known As

OAA

No data available

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.

Oracle

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.

SAS

Sample Customers

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

Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service

Buyer's Guide

Oracle Advanced Analytics vs. SAS Analytics

December 2025

Free Report: Oracle Advanced Analytics vs. SAS Analytics

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