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 7.9, while SAS is ranked #9. SAP holds a 13.7% mindshare in PA, compared to SAS’s 3.4% 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 71 SAP Analytics Cloud reviews

6,726 Views
740 Comparison Views

92% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

207 Views
203 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: July 2025).

Buyer's Guide

SAP Analytics Cloud vs. SAS Predictive Analytics

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 Analytics Cloud

Ranking in Predictive Analytics

3rd

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (3rd)

SAS Predictive Analytics

Ranking in Predictive Analytics

9th

Average Rating

7.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Predictive Analytics category, the mindshare of SAP Analytics Cloud is 13.7%, down from 13.9% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.4%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

RamasamyTelungupalayam

Product Manager - ERP Analytics and BI at Haleon

Seamless integration, collaborative features, and enhances data exploration

There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

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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

"It's many features make it the best in the market."

"SAP Analytics Cloud is a very good tool. The feature that's most useful for me is the reporting as it can be done via Google Chrome. The solution is also very nice, user-friendly, and easy to build. It's very easy to use the features of SAP Analytics Cloud."

"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."

"A robust solution."

"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."

"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."

"One of the most outstanding features is being able to use the dashboard with a touch screen."

"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."

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

"The main area that needs improvement is visualization."

"An additional feature that needs to be added to SAP Analytics Cloud is exporting because right now, you can only export to PDF and PowerPoint. It would be good to have multiple export options, for example, to Excel and other apps. Pricing is an area for improvement in SAP Analytics Cloud, apart from exporting."

"The predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use."

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

"The budget management could be better."

"Could be more user-friendly; somewhat complicated to use."

"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."

"All the features are there, maybe except for the one-gauge visualization."

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

"Its pricing is okay as compared to its competitors."

"Compute and storage features should be sold separately."

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

"Its licensing is on a monthly basis."

"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."

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

"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."

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

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

19%

Computer Software Company

Financial Services Firm

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 17% of the time

Tableau Enterprise vs SAP Analytics Cloud

Compared 17% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 12% of the time

Anaplan vs SAP Analytics Cloud

Compared 11% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 11% of the time

More SAP Analytics Cloud Competitors

DataRobot vs SAS Predictive Analytics

Compared 100% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

SAP Analytics Cloud

July 2025

Download SAP Analytics Cloud product report

Buyer's Guide

Predictive Analytics

August 2025

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

July 2025

Free Report: SAP Analytics Cloud vs. SAS Predictive Analytics

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