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 7.0, while SAS is ranked #5 with an average rating of 8.5. Oracle holds a 4.8% mindshare in DM, compared to SAS’s 8.0% mindshare. Additionally, 60% of Oracle users are willing to recommend the solution, compared to 95% of SAS users who would recommend it.

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

804 Views
796 Comparison Views

60% willing to recommend

SAS Analytics

Read 13 SAS Analytics reviews

1,358 Views
1,344 Comparison Views

95% willing to recommend

Oracle Advanced Analytics

SAS Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Oracle Advanced Analytics and SAS Analytics are competing products in the analytics software market. Oracle Advanced Analytics has an edge in pricing and support, while SAS Analytics offers a more comprehensive feature set, justifying its higher price.

Features: Oracle Advanced Analytics offers robust data mining capabilities, seamless integration within the Oracle ecosystem, and easy centralization of reports and dashboards. SAS Analytics provides advanced statistical techniques, extensive modeling features, and an array of flexible statistical tools suitable for complex analytical tasks.

Room for Improvement: Oracle Advanced Analytics could enhance its flexibility for deployment beyond Oracle environments, expand the breadth of advanced statistical tools, and improve on providing more cloud-based options. SAS Analytics could work on reducing its learning curve for new users, streamline its integration with non-SAS environments, and address its higher initial setup costs.

Ease of Deployment and Customer Service: Oracle Advanced Analytics offers easy deployment within Oracle environments and strong support for existing infrastructure users. SAS Analytics provides flexible deployment options for both on-premise and cloud solutions and features extensive customer support channels, making it adaptable for large enterprises.

Pricing and ROI: Oracle Advanced Analytics presents competitive setup costs, especially for businesses already integrated into Oracle's ecosystem, potentially leading to quicker ROI via streamlined integration. SAS Analytics, while having higher upfront costs, offers expansive ROI for organizations seeking detailed analytics capabilities, delivering long-term value through its comprehensive features and adaptability.

To learn more, read our detailed Oracle Advanced Analytics vs. SAS Analytics Report (Updated: June 2026).

Buyer's Guide

Oracle Advanced Analytics vs. SAS Analytics

June 2026

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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

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.8%, up from 4.2% compared to the previous year. The mindshare of SAS Analytics is 8.0%, up from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
SAS Analytics	8.0%
Oracle Advanced Analytics	4.8%
Other	87.2%

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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Sanjay Charitesh Makam

Student at Rochester Institute of Technology

Data management has become faster and clearer but integration and large data handling still need work

SAS Analytics needs to improve for entry-level people in my college because buying licenses is somewhat costly for small businesses. SAS Analytics is also somewhat complex for students who are entering the data field. Additionally, SAS Analytics is not good at integration with other environments, so it should improve on that, and some syntaxes are not good. SAS Analytics has an older architecture in some areas, so it should enhance the UX side and performance in some aspects. SAS Analytics documentation should improve to be clearer for students who are currently using or trying to use SAS Analytics, so the documentation should be simplified. Customer service is pretty good as of now, as they respond in two to four hours on business days, but faster response times may solve many problems and attract more users. I rate SAS Analytics seven or eight out of ten. SAS Analytics should improve in massive data handling, as I mentioned earlier. SAS Analytics struggles when it handles massive data, and it should also get top-tier support. The support should improve from two to four hours down to one hour or even thirty minutes. SAS Analytics should also offer more low-code options for those who do not know how to code or to save more time, and they should consider reducing their pricing. Currently, SAS Analytics has limited flexibility and very limited integration, so improvements in those areas are necessary. SAS Analytics student version does not handle long or lengthy data well right now, so it should improve on that point. As I have mentioned, it struggles with larger data sets, but for current small or medium data sets, it is very good. Customer support should improve to fifteen to thirty minutes or immediate live agents during business hours. The two to four hours wait can sometimes take more than one day, and that does not make sense. We have to stop all our work until they reply if we encounter critical problems, so they should improve for certain.

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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 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."

"Viewing the data on the Dashboard with charts is a great option this tool provides."

"Ability to pull together multiple sources of information."

"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."

"Oracle is number one in the world for security, safety, and privacy."

"Easy to use, simple, with a quick learning curve."

"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."

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

More Oracle Advanced Analytics pros

"SAS Analytics is a very versatile and comfortable tool and it is powerful because I can work with data from many millions of records, big data with SAS Analytics in a short time versus other software."

"This solution has helped us materially grow multiple business categories."

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

"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams, allowing me to create functions that operate independently and streamline workflows efficiently."

"The team immediately resolves the issues."

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

"It's a very good tool for typical data analytics and reporting, data management."

"The technical support is okay."

More SAS Analytics pros

Cons

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

"Basic capabilities, less professional than would be expected from a company dealing with databases as a core business."

"There are some transactions we have not been able to find through the dashboard."

"Problems in handling huge data sets."

"Could use some refinement getting things that are not standard cloud applications, but more customized."

"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."

"One area for product improvement is the user experience, particularly when navigating through screens."

"Since a separate Oracle database is needed, the data loading and cleansing the raw data can be a time consuming process."

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

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

"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."

"In the graphical area much more improvement is still needed."

"It is relatively expensive."

"SAS is very expensive. The challenge with them is that you have to pay for a license with every module you buy."

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

"They could enhance the AI capabilities of the product."

More SAS Analytics cons

Pricing and Cost Advice

"The solution is priced well."

"Licensing was rather straightforward."

"Setup costs were quite reasonable."

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

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

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

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

"I think that the cost-benefit ratio is okay."

"Prices were comparable with alternative solutions."

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

25%

University

13%

Construction Company

10%

Outsourcing 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	11

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.

See all answers

What needs improvement with Oracle Advanced Analytics?

See all answers

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 needs improvement with SAS Analytics?

With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations. Many other software...

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What is your primary use case for SAS Analytics?

I work with SAS Analytics solutions, specifically with SAS Data Mining, because I extract information from the core system of the bank via ODBC connections and use SAS Base on the servers. I am the...

See all answers

What is your experience regarding pricing and costs for SAS Analytics?

As a student, I do not pay anything for pricing; my college gives me credentials, and SAS Analytics is free for students, so the licensing is also free. Thus, SAS Analytics for students is very good.

See all answers

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Compared 12% of the time

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Compared 11% of the time

IBM SPSS Statistics vs SAS Analytics

Compared 11% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 11% of the time

IBM Smart Analytics vs SAS Analytics

Compared 7% of the time

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Product Reports

Buyer's Guide

Oracle Advanced Analytics

June 2026

Download Oracle Advanced Analytics product report

Buyer's Guide

SAS Analytics

May 2026

Download SAS Analytics product report

Also Known As

OAA

No data available

Overview

Oracle Advanced Analytics provides powerful data customization and integration capabilities, making it suitable for businesses looking to enhance their analytics within Oracle ecosystems and beyond.

Oracle Advanced Analytics offers features like centralized reporting, predictive modeling, and integration with more than ten algorithms for data mining. Despite its strengths, challenges include complexity and licensing issues that affect ease of use and data processing. Users often deploy it to streamline data analysis, support cloud cost assessment, and integrate with SD-WAN environments for security-enhanced transitions. Its compatibility with OBI, ODI, and OBIA versions facilitates its adaptability in handling extensive data lakes.

What are the key features of Oracle Advanced Analytics?

Customization Abilities: Allows tailored analytics solutions to meet specific business requirements.
Integration: Compatible with Oracle and third-party tools, enhancing functionality.
User-Friendly Dashboards: Simplifies data exploration with intuitive visuals.
Predictive Modeling: Supports advanced analytics for better decision-making using SQL queries.
Data Mining Algorithms: Offers more than ten algorithms for comprehensive data mining.

What benefits should users expect?

Efficiency: Streamlines data insights with robust analytics.
Scalability: Manages large datasets effectively, provided performance enhancements are in place.
Adaptability: Supports diverse industries with its versatile applications.

Consulting firms employ Oracle Advanced Analytics for integrating secure transitions in SD-WAN environments, focusing on management and security aspects. In marketing, teams leverage it for projects that require analyzing multiple data sources to understand consumer behavior. It assists businesses in managing extensive data lakes, facilitating historical data analysis. Organizations benefit from its compatibility with Oracle tools like OBI, ODI, and OBIA, driving efficient operations in diverse industry contexts.

Oracle

SAS Analytics offers a powerful suite of tools for statistical analysis, predictive analytics, and data handling, making it ideal for industries requiring robust data-driven decisions. Its extensive capabilities cater to professionals familiar with SQL and demand forecasting needs across sectors.

With a strong presence in analytics, SAS Analytics provides a seamless experience for data preparation, exploration, and reporting. Users benefit from its ability to handle large data sets, generate interactive reports, and integrate with multiple platforms. Despite its high costs and need for improved visualization and natural language querying, SAS Analytics remains a favored choice for those requiring comprehensive statistical modeling and risk analytics. Enhancing self-service analytics and accelerating support response times are areas of needed improvement. Companies use it extensively for business intelligence and demand forecasting, particularly in sectors like banking and financial services.

What are the key features of SAS Analytics?

Interactive Reports: Embeds intuitive and engaging reports.
Extensive Analytics Functions: Offers a wide range of analytics capabilities.
SQL Compatibility: Streamlines use for SQL-proficient users.
Predictive Analytics: Enhances analysis with SAS E-Miner.
Automation: Utilizes macros for automated tasks.
Large Data Handling: Manages extensive data effectively.

What benefits can users look for in reviews?

Increased Productivity: Saves time with automation and efficient data processing.
Enhanced Efficiency: Direct data source connections streamline workflows.
Versatility: Adapts to diverse analytical and reporting requirements.
Comprehensive Resources: Provides extensive help and support materials.

SAS Analytics is widely implemented in industries for tasks like national auto insurance pricing, financial replication, and marketing analytics. Teams in banking and financial services apply it for quantitative analyses, risk assessments, and generating detailed operational reports, demonstrating its adaptability and strength in handling complex data scenarios.

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

June 2026

Free Report: Oracle Advanced Analytics vs. SAS Analytics

Find out what your peers are saying about Oracle Advanced Analytics vs. SAS Analytics and other solutions. Updated: June 2026.

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