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SAP Analytics Cloud vs SAS Predictive Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

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
7.1
Number of Reviews
72
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
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Predictive Analytics category, the mindshare of SAP Analytics Cloud is 6.7%, down from 15.5% compared to the previous year. The mindshare of SAS Predictive Analytics is 4.7%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
SAP Analytics Cloud6.7%
SAS Predictive Analytics4.7%
Other88.6%
Predictive Analytics
 

Featured Reviews

Pavlina Pankova - PeerSpot reviewer
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.
it_user1139529 - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is scalable."
"The features that are most valuable in SAP Analytics Cloud are the planning feature and the predictive analytics feature, though the planning feature needs to be more efficient."
"It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up."
"Provides rich features for developing automated reports and dashboards."
"The most valuable features are on the application side, where you can design applications into your analytics on the platform."
"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."
"In my opinion, it is good for analytics. Everything is in the cloud."
"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 most valuable feature is its flexibility and the ability to integrate with SAS."
"The most valuable features are forecasting and reporting."
 

Cons

"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."
"Live Data Models are very slow and the setup can be improved, with tools such as Cloud Connector being inbuilt into SAP Analytics Cloud. Likewise, we need to write application code from scratch, rather than tweaking existing code, as we might with Excel macros. Moreover, when using responsive pages, the widgets get adjusted according to the mobile screen. As a result, when I place two or three KPI tiles, they can only be viewed tile-by-tile. We want to see the full dashboard on the mobile screen and zoom in to click on a particular section of the dashboard and go further into that. But displaying tile-by-tile makes it very annoying and the upper management using this dashboard might not be aware there are any more tiles to view."
"Sometimes we have difficulty connecting to a SharePoint list."
"There should be more features for the time series charts."
"Some algorithms are complex and can't be processed by just tagging the data and expecting results."
"It is slightly behind other tools in terms of the number of graphical outputs."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
"The product could improve by enhancing connectivity issues and speeding up response times for support queries."
"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

"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."
"Compute and storage features should be sold separately."
"Its pricing is okay as compared to its competitors."
"The tool's pricing is medium, and licensing costs are yearly."
"The pricing of this product is reasonable."
"Its licensing is on a monthly basis."
"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 price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."
"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
8%
Retailer
7%
Computer Software Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise13
Large Enterprise39
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 ...
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.
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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Also Known As

SAP BusinessObjects Cloud
No data available
 

Overview

Information not available
 

Sample Customers

Live Oak Bank
MetLife
Find out what your peers are saying about SAP Analytics Cloud vs. SAS Predictive Analytics and other solutions. Updated: March 2026.
884,797 professionals have used our research since 2012.