SAP Business Data Cloud vs SAS Predictive Analytics comparison

SAP and SAS are both solutions in the Predictive Analytics category. Additionally, 92% of SAP users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

SAP Business Data Cloud

Read 72 SAP Business Data Cloud reviews

92% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

398 Views
398 Comparison Views

100% willing to recommend

SAP Business Data Cloud

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

SAS Predictive Analytics and SAP Business Data Cloud compete in data analytics. SAP Business Data Cloud has an edge due to its integration with SAP solutions and comprehensive data management capabilities.

Features: SAS Predictive Analytics offers advanced statistical analysis, diverse data mining techniques, and focused predictive modeling. SAP Business Data Cloud provides integration capabilities, real-time data processing, and scalability tailored for large enterprises.

Ease of Deployment and Customer Service: SAS Predictive Analytics allows for a straightforward deployment but often requires skilled personnel. It offers strong technical support. SAP Business Data Cloud leverages cloud technology for flexible and fast deployment, simplifying integration with SAP infrastructures, providing an edge in ease of implementation.

Pricing and ROI: SAS Predictive Analytics typically has a lower setup cost focusing on ROI through analytics and reduced operational overhead. SAP Business Data Cloud requires a higher initial investment but justifies this with integration into existing systems and comprehensive data management, providing long-term ROI benefits.

To learn more, read our detailed Predictive Analytics Report (Updated: March 2026).

Buyer's Guide

Predictive Analytics

March 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

SAP Business Data Cloud

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Integration (124th), BI (Business Intelligence) Tools (146th), Cloud Analytics (15th), Data Governance (81st), Cloud Data Warehouse (19th)

SAS Predictive Analytics

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Predictive Analytics (7th)

Featured Reviews

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Brings reporting, planning, and prediction together in one seamless workflow

I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

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it_user1139529

Data Scientist at a tech services company with 1,001-5,000 employees

Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved

There are not many people deploying models using this solution, which is a problem. I have done some cross-development and have found that when I am building models with the open-source software, the accuracy is better. For categorical data, the models built by SAS Emailer are very complex compared to those built by the open-source version. Technical support could be improved because they take too long to answer our queries. Models that are created are a block box, and you can't see the details.

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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 ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."

"The product has helped us to unify reporting between all departments and throughout the entire company; it has improved our organization by streamlining operations."

"It's so user-friendly."

"I strongly recommend this particular product because whatever I do in multiple tools, in reporting or dashboarding, for example, I carry out a planning process where everything is integrated, so I strongly recommend SAP."

"I would advise anyone looking into SAP Analytics Cloud to go for it."

"It is a comprehensive BI solution that provides reporting, planning, and predictive analytics in one solution. You don't have to buy three different products. It is very flexible. It can be implemented very quickly. It has a lot of out-of-the-box scenarios that you can use for quick deployment."

"A point of differentiation in the market for Analytics Cloud compared to other analytics products, is it offers not only business intelligence within the application, but also it has inbuilt AI and machine learning capabilities that can be used not only by data scientist types in the organization, but for general users who can get the benefit of inbuilt predictive features in the tool."

"The stability is quite good; it doesn't crash or freeze, there are no bugs or glitches, and it's reliable."

More SAP Business Data Cloud pros

"The most valuable feature is its flexibility and the ability to integrate with SAS."

"The most valuable features are forecasting and reporting."

Cons

"The customizations need to be better."

"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."

"It's quite expensive and costs a lot to maintain, especially with licensing."

"The solution should include other scripting languages as well, such as Python."

"With the R Visualization, the coding is somewhat complex."

"This is not a very stable product."

"What should be improved in SAP Analytics Cloud is the speed of importing information and data from SAP S/4HANA, because it's what we're using."

"The integration with other vendors and solutions could be improved."

More SAP Business Data Cloud cons

"Technical support could be improved because they take too long to answer our queries."

"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."

"I think that this solution should be more compatible with other software, including open-source solutions."

"Technical support could be improved because they take too long to answer our queries."

Pricing and Cost Advice

"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."

"Its licensing is on a monthly basis."

"The tool's pricing is medium, and licensing costs are yearly."

"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."

"The platform is about 50% more expensive than Power BI."

"Compute and storage features should be sold separately."

"SAP pricing tends to be premium, so it is slightly higher."

"It's not that costly as such for the time being."

More SAP Business Data Cloud pricing and cost advice

"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."

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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

Retailer

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	13
Large Enterprise	39

No data available

Questions from the Community

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

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What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

See all answers

What is your experience regarding pricing and costs for SAP Analytics Cloud?

I normally do not deal with the commercials, so I am not aware of the pricing part of it.

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Comparisons

SAP BusinessObjects Business Intelligence Platform vs SAP Business Data Cloud

Compared 31% of the time

Anaplan vs SAP Business Data Cloud

Compared 7% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 7% of the time

Tableau Enterprise vs SAP Business Data Cloud

Compared 6% of the time

IBM Planning Analytics vs SAP Business Data Cloud

Compared 5% of the time

More SAP Business Data Cloud Competitors

DataRobot vs SAS Predictive Analytics

Compared 18% of the time

Altair RapidMiner vs SAS Predictive Analytics

Compared 15% of the time

Alteryx vs SAS Predictive Analytics

Compared 12% of the time

Skai vs SAS Predictive Analytics

Compared 12% of the time

Vortexa vs SAS Predictive Analytics

Compared 11% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

March 2026

Download SAP Business Data Cloud product report

Buyer's Guide

Predictive Analytics

March 2026

Download SAS Predictive Analytics product report

Also Known As

SAP Analytics Cloud

No data available

Overview

SAP Business Data Cloud is a robust platform designed to streamline data integration and management across enterprises. It provides efficient solutions to harness and analyze data for enhanced decision-making and operational effectiveness.

SAP Business Data Cloud offers businesses a comprehensive approach to manage data traffic, ensuring seamless integration and accessibility. By leveraging cloud capabilities, it enhances data usability and supports strategic business processes. This is particularly advantageous in a rapidly evolving technological landscape where agility and adaptation are key to competitiveness.

What are the most important features of SAP Business Data Cloud?

Integrated Data Management: Facilitates seamless data handling across different sources.
Advanced Analytics: Provides tools for in-depth data analysis to support decision-making.
Scalability: Ensures the platform can grow alongside business demands.
Security: Robust security measures protect sensitive information.
Real-time Processing: Allows for immediate data processing and insights.

What benefits and ROI should users look for when evaluating SAP Business Data Cloud?

Improved Operational Efficiency: Optimizes processes by providing a unified data environment.
Cost Savings: Reduces infrastructure costs through cloud integration.
Enhanced Decision-Making: Empowers users with timely and relevant insights.
Agility and Flexibility: Allows quick adaptation to changing business needs.

SAP Business Data Cloud finds application across multiple industries such as finance, where it aids in risk management and regulatory compliance. In retail, it enhances supply chain efficiencies, while in manufacturing, it supports production optimization. The adaptability of SAP Business Data Cloud makes it valuable across sectors.

SAP

Information not available

SAS

Sample Customers

Live Oak Bank

MetLife

Find out what your peers are saying about Alteryx, SAP, Anaplan and others in Predictive Analytics. Updated: March 2026.

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We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.