Oracle Advanced Analytics vs SAS Enterprise Miner 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 #7. Oracle holds a 4.2% mindshare in DM, compared to SAS’s 4.8% mindshare. Additionally, 60% of Oracle users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

442 Views
442 Comparison Views

60% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,059 Views
371 Comparison Views

93% willing to recommend

Oracle Advanced Analytics

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

Oracle Advanced Analytics and SAS Enterprise Miner compete in the analytics solutions category, with Oracle excelling in pricing and support, while SAS stands out for its comprehensive feature set.

Features: Oracle Advanced Analytics offers robust integration with Oracle's ecosystem, enhancing data analysis capabilities. It provides powerful data mining features and algorithmic options within the Oracle environment. Its seamless integration with SQL applications allows predictive models to be included in queries. SAS Enterprise Miner offers extensive statistical and machine learning tools. The product features advanced data management and robust data processing capabilities, supporting large datasets effectively. Its interface supports multiple algorithms for model creation and comparison.

Room for Improvement: Oracle Advanced Analytics could enhance the user interface for greater accessibility and improve documentation for non-technical users. Some users suggest better visualization options and expanded algorithm choices. SAS Enterprise Miner might benefit from streamlining its initial setup process. More intuitive guidance for beginners and enhanced integration with non-SAS systems could improve user experience.

Ease of Deployment and Customer Service: Oracle Advanced Analytics benefits from a well-established support infrastructure, ensuring smooth deployment processes. Its simplified deployment makes it user-friendly for existing Oracle users. SAS Enterprise Miner offers detailed documentation and extensive resources, but its setup can be complex, requiring more time and expertise to deploy effectively.

Pricing and ROI: Oracle Advanced Analytics presents a cost-effective solution, particularly for businesses already invested in Oracle systems, offering favorable ROI. SAS Enterprise Miner, although demanding higher setup costs, offers significant returns through its advanced analytical capabilities and the depth of its integrated tools.

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

Buyer's Guide

Oracle Advanced Analytics vs. SAS Enterprise Miner

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 Enterprise Miner

Ranking in Data Mining

7th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Science Platforms (23rd)

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 Enterprise Miner is 4.8%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
Oracle Advanced Analytics	4.2%
SAS Enterprise Miner	4.8%
Other	91.0%

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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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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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."

"Ability to pull together multiple sources of information."

"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

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

"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."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"The solution is able to handle quite large amounts of data beautifully."

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"The technical support is very good."

"The solution is very good for data mining or any mining issues."

"he solution is scalable."

"I like the way the product visually shows the data pipeline."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

More SAS Enterprise Miner pros

Cons

"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."

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

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The initial setup is challenging if doing it for the first time."

"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."

"The product must provide better integration with cloud-native technologies."

"Virtualization could be much better."

"The ease of use can be improved. When you are new it seems a bit complex."

"The solution is much more complex than other options."

"The visualization of the models is not very attractive, so the graphics should be improved."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"The solution is priced well."

"The solution must improve its licensing models."

"This solution is for large corporations because not everybody can afford it."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Educational Organization

10%

Manufacturing Company

10%

University

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	3
Midsize Enterprise	4
Large Enterprise	7

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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Comparisons

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Compared 18% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 12% of the time

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Compared 12% of the time

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Compared 8% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 8% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 8% of the time

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Product Reports

Buyer's Guide

Oracle Advanced Analytics

December 2025

Download Oracle Advanced Analytics product report

Buyer's Guide

Data Mining

December 2025

Download SAS Enterprise Miner product report

Also Known As

OAA

Enterprise Miner

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 Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS

Sample Customers

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

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Oracle Advanced Analytics vs. SAS Enterprise Miner

December 2025

Free Report: Oracle Advanced Analytics vs. SAS Enterprise Miner

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