SAP Analytics Cloud vs SAS Predictive Analytics comparison

SAP and SAS are both solutions in the Predictive Analytics category. SAP is ranked #3 with an average rating of 8.1, while SAS is ranked #7. SAP holds a 6.9% mindshare in PA, compared to SAS’s 4.6% mindshare. Additionally, 92% of SAP users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

SAP Analytics Cloud

Read 72 SAP Analytics Cloud reviews

6,308 Views
694 Comparison Views

92% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

347 Views
347 Comparison Views

100% willing to recommend

SAP Analytics Cloud

SAS Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 6, 2025

SAS Predictive Analytics and SAP Analytics Cloud compete in the analytics category, each with distinct strengths. SAS has the upper hand in analytics depth, offering comprehensive statistical tools and advanced data modeling. SAP is superior in integration and collaboration, particularly for organizations within the SAP ecosystem.

Features: SAS Predictive Analytics provides comprehensive statistical tools, handles large datasets effectively, and performs complex data analyses. SAP Analytics Cloud integrates seamlessly with other SAP solutions, offers real-time business intelligence features, and supports collaboration for data-driven decision-making.

Ease of Deployment and Customer Service: SAS Predictive Analytics can be more complex to deploy, requiring specialized knowledge, and offers standard customer service. SAP Analytics Cloud is straightforward to deploy for SAP users due to its cloud-first design and integration, providing prompt and beneficial customer service.

Pricing and ROI: SAS Predictive Analytics involves higher initial costs and potential needs for specialized resources, offering substantial ROI for deep analytic needs. SAP Analytics Cloud proposes a flexible pricing model with lower upfront costs and offers solid ROI through its integration and collaboration capabilities.

To learn more, read our detailed SAP Analytics Cloud vs. SAS Predictive Analytics Report (Updated: December 2025).

Buyer's Guide

SAP Analytics Cloud vs. SAS Predictive 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

SAP Analytics Cloud

Ranking in Predictive Analytics

3rd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (5th)

SAS Predictive Analytics

Ranking in Predictive Analytics

7th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Predictive Analytics category, the mindshare of SAP Analytics Cloud is 6.9%, down from 15.4% compared to the previous year. The mindshare of SAS Predictive Analytics is 4.6%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
SAP Analytics Cloud	6.9%
SAS Predictive Analytics	4.6%
Other	88.5%

Predictive Analytics

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."

"A robust solution."

"Technical support is helpful."

"The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool, and because they are, you don't have to buy another tool to make planning, you don't have to buy another tool to implement prediction."

"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."

"The most valuable features of SAP Analytics Cloud are its native integration with SAP data and the ability to leverage SAP artifacts."

"Considering the reporting part, I rate the tool a nine out of ten."

More SAP Analytics Cloud pros

"The most valuable features are forecasting and reporting."

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

Cons

"It is slightly behind other tools in terms of the number of graphical outputs."

"The business intelligence features should be improved because there is a lack of functionality regarding that part."

"I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design."

"They need a better scalability rate."

"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."

"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."

"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."

"However, there are areas of improvement, particularly in terms of visualization. The front-end interface of SAP Analytics Cloud is not as impressive as Tableau and Power BI. The charts in other solutions have a more visually appealing and customizable look, while in SAP Analytics Cloud, there's a lack of alignment between numbers and charts. This graphical aspect, especially concerning charts, is not as satisfactory in SAP Analytics Cloud compared to its counterparts."

More SAP Analytics Cloud cons

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

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

Pricing and Cost Advice

"The product is expensive."

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

"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."

"Compute and storage features should be sold separately."

"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."

"This solution offers value for money and you get what you pay for."

"Its licensing is on a monthly basis."

"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."

More SAP Analytics 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

18%

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.

See all answers

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Comparisons

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 32% of the time

Anaplan vs SAP Analytics Cloud

Compared 8% of the time

Tableau Enterprise vs SAP Analytics Cloud

Compared 7% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 7% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 7% of the time

More SAP Analytics Cloud Competitors

DataRobot vs SAS Predictive Analytics

Compared 23% of the time

TIBCO Statistica vs SAS Predictive Analytics

Compared 15% of the time

Vortexa vs SAS Predictive Analytics

Compared 15% of the time

Alteryx vs SAS Predictive Analytics

Compared 14% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

SAP Analytics Cloud

January 2026

Download SAP Analytics Cloud product report

Buyer's Guide

Predictive Analytics

January 2026

Download SAS Predictive Analytics product report

Also Known As

SAP BusinessObjects Cloud

No data available

Overview

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

SAP

Information not available

SAS

Sample Customers

Live Oak Bank

MetLife

Buyer's Guide

SAP Analytics Cloud vs. SAS Predictive Analytics

December 2025

Free Report: SAP Analytics Cloud vs. SAS Predictive Analytics

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