SAP Predictive Analytics vs SAS Enterprise Miner comparison

SAP and SAS are both solutions in the Data Science Platforms category. SAP is ranked #27, while SAS is ranked #20 with an average rating of 9.0. SAP holds a 0.5% mindshare in Data Science Platforms, compared to SAS’s 1.2% mindshare. Additionally, 100% of SAP users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

303 Views
294 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

865 Views
623 Comparison Views

93% willing to recommend

SAP Predictive Analytics

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and SAP Predictive Analytics are competing in the advanced analytics sector. SAP Predictive Analytics seems to have the upper hand due to its robust automation and feature depth.

Features: SAS Enterprise Miner offers seamless integration, intuitive model building, and reliable data management, focusing on dependability. SAP Predictive Analytics is noted for its automated predictive capabilities, scalability for large datasets, and competitive process efficiency.

Ease of Deployment and Customer Service: SAS Enterprise Miner provides comprehensive deployment options with strong support, ensuring easy integration. SAP Predictive Analytics benefits from quicker deployment through cloud capabilities and simple setup. SAS offers personalized customer support, whereas SAP provides robust resources and automated assistance.

Pricing and ROI: SAS Enterprise Miner usually involves higher initial costs but aims for ROI through effective analytics and integration. SAP Predictive Analytics provides a flexible pricing model, offering long-term ROI with scalable solutions and lower maintenance costs, making it appealing for businesses needing extensive analytical features.

To learn more, read our detailed SAP Predictive Analytics vs. SAS Enterprise Miner Report (Updated: July 2025).

Buyer's Guide

SAP Predictive Analytics vs. SAS Enterprise Miner

July 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

SAP Predictive Analytics

Ranking in Data Science Platforms

27th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Enterprise Miner

Ranking in Data Science Platforms

20th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (6th)

Mindshare comparison

As of September 2025, in the Data Science Platforms category, the mindshare of SAP Predictive Analytics is 0.5%, up from 0.4% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.2%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
SAS Enterprise Miner	1.2%
SAP Predictive Analytics	0.5%
Other	98.3%

Data Science Platforms

Featured Reviews

Gary Cook

Executive at Empowered Analytics

Enables us to forecast and pull trends and has an easy installation

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

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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

"The most valuable features are the analytics and reporting."

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."

"he solution is scalable."

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

"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."

"Good data management and analytics."

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

"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 setup is straightforward. Deployment doesn't take more than 30 minutes."

More SAS Enterprise Miner pros

Cons

"This solution works for acquired data but not live, real-time data."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

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

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

"Virtualization could be much better."

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

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

"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."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"A free trial version is available for testing out this solution."

"The pricing is reasonable"

"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."

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

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

University

11%

Educational Organization

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

Questions from the Community

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What do you like most about SAS Enterprise Miner?

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

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What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...

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What needs improvement with SAS Enterprise Miner?

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

See all answers

Comparisons

KNIME Business Hub vs SAP Predictive Analytics

Compared 50% of the time

Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 50% of the time

More SAP Predictive Analytics Competitors

KNIME Business Hub vs SAS Enterprise Miner

Compared 31% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 14% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 14% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 10% of the time

TIBCO Data Science vs SAS Enterprise Miner

Compared 7% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Data Science Platforms

August 2025

Download SAP Predictive Analytics product report

Buyer's Guide

Data Mining

August 2025

Download SAS Enterprise Miner product report

Also Known As

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

Enterprise Miner

Overview

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAP

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

mBank

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

Buyer's Guide

SAP Predictive Analytics vs. SAS Enterprise Miner

July 2025

Free Report: SAP Predictive Analytics vs. SAS Enterprise Miner

Find out what your peers are saying about SAP Predictive Analytics vs. SAS Enterprise Miner and other solutions. Updated: July 2025.

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