SAP Analytics Cloud vs SAS Predictive Analytics comparison

SAP and SAS are both solutions in the Predictive Analytics category. SAP is ranked #2 with an average rating of 7.9, while SAS is ranked #9. SAP holds a 12.7% mindshare in PA, compared to SAS’s 3.7% 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

6,149 Views
676 Comparison Views

92% willing to recommend

SAS Predictive Analytics

Read 2 SAS Predictive Analytics reviews

226 Views
221 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: September 2025).

Buyer's Guide

SAP Analytics Cloud vs. SAS Predictive Analytics

September 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

2nd

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (4th)

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 October 2025, in the Predictive Analytics category, the mindshare of SAP Analytics Cloud is 12.7%, down from 13.6% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.7%, up from 2.9% 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	12.7%
SAS Predictive Analytics	3.7%
Other	83.6%

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

"I like the connectivity the solution provides with other products."

"There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling."

"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."

"The product's native integration with SAP ERP systems is particularly valuable."

"We mainly use Analytics Cloud because it integrates with other SAP solutions. Our ERP is an SAP product, and our back-end is SAP Business Warehouse, so integration is an essential factor."

"The ability to collaborate and plan together is great."

"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript)."

"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."

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

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

"The budget management could be better."

"The price, integration, and modeling capabilities could be better. I have to use an integration engine to integrate our products and databases. SAP Analytics Cloud is made specifically for KPIs and business intelligence. The modeling capabilities are kind of poor. You always have to model the data and then present it visually in SAP Analytics Cloud. In the next release, I would like to have a lite version for planning to create scenarios quickly. For me personally, planning is the most complicated feature of SAP Analytics Cloud."

"I would also like to have more advanced features for predictive analytics."

"The product could improve by enhancing connectivity issues and speeding up response times for support queries."

"Real-time reporting is one area that needs improvement for the product."

"The general management of this solution could be improved. The graphics or icons could also be improved to allow them to integrate with other environments on the web."

"It seems like there's a problem with the tool's licenses. If there are a lot of users, like 200, who only use the solution once a year, paying for a full-year license for each user is expensive. There's no option for users who only use the solution occasionally."

More SAP Analytics Cloud cons

"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

"Compute and storage features should be sold separately."

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

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

"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."

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

"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."

"SAP Analytics Cloud can be quite expensive."

"This solution is pricey."

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%

Computer Software Company

Financial Services Firm

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
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 ...

See all answers

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 20% of the time

Tableau Enterprise vs SAP Analytics Cloud

Compared 15% 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

IBM Planning Analytics vs SAP Analytics Cloud

Compared 11% of the time

More SAP Analytics Cloud Competitors

DataRobot vs SAS Predictive Analytics

Compared 59% of the time

TIBCO Statistica vs SAS Predictive Analytics

Compared 41% of the time

More SAS Predictive Analytics Competitors

Product Reports

Buyer's Guide

SAP Analytics Cloud

September 2025

Download SAP Analytics Cloud product report

Buyer's Guide

Predictive Analytics

September 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

September 2025

Free Report: SAP Analytics Cloud vs. SAS Predictive Analytics

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