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Posit vs SAP Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 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

Posit
Ranking in BI (Business Intelligence) Tools
27th
Average Rating
7.6
Reviews Sentiment
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
SAP Analytics Cloud
Ranking in BI (Business Intelligence) Tools
3rd
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
71
Ranking in other categories
Predictive Analytics (3rd)
 

Mindshare comparison

As of August 2025, in the BI (Business Intelligence) Tools category, the mindshare of Posit is 0.4%, up from 0.1% compared to the previous year. The mindshare of SAP Analytics Cloud is 3.9%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

SUBRATADEY - PeerSpot reviewer
Addressing installation challenges to utilize interactive dashboards effectively
Posit is valuable because many geo-scientists I work with are more comfortable writing R scripts and using R Shiny, making it a suited choice for them. On top of that, it integrates with the application and database, creating interactive dashboards. While there's a need to manage a significant portion manually, the performance overall is stable.
RamasamyTelungupalayam - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The most valuable feature of Posit is that it allows users to host different models in one place, making it easy to share with colleagues and teammates."
"I have found Posit’s integration with R, such as the autocomplete feature and the help panel, to be invaluable."
"Overall, I think Posit is a stable product."
"I like the predictive features of SAP. It's easy to use tools for an end-user."
"Planning and integration are the most valuable features. It is useful for planning, and it is useful for integrating with on-prem or cloud SAP solutions."
"Technical support is helpful."
"SAP Analytics Cloud allows you to quickly perform various tasks in terms of virtualization. CyberArk itself requires some enhancements to better connect with other technologies. While it's easy to connect with SAP, using analytics tools may sometimes necessitate sourcing information from different platforms. You might need data from SAP or other technologies/platforms to access specific information not available within SAP. SAP is effective for managing storage and enhancing virtualization capabilities."
"The user interface is quite good for developing reports out of models."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript)."
"The product's native integration with SAP ERP systems is particularly valuable."
 

Cons

"Posit lacks a smooth solution for the build and release pipeline, requiring duplicate effort for production transitions."
"I would like to see improvements in SSH capabilities."
"I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design."
"The scope is limited to a few accounts."
"The technology used by the tool is old, making it an area where improvements are required."
"Custom visuals is another area of improvement. There are also some mobile features that are missing. There are features that aren't available on the mobile."
"All the features are there, maybe except for the one-gauge visualization."
"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."
"Statistical analysis should be a bit more profound than it is."
"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."
 

Pricing and Cost Advice

Information not available
"SAP pricing tends to be premium, so it is slightly higher."
"This solution is pricey."
"It's quite expensive and costs a lot to maintain, especially with licensing."
"The platform is about 50% more expensive than Power BI."
"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."
"Its licensing is on a monthly basis."
"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."
"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."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
19%
Computer Software Company
9%
Financial Services Firm
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your primary use case for Posit?
I use Posit for both Posit Connect and Posit Workbench. The Workbench is used for development, as there are many packages not supported by RStudio because I didn't have RStudio Pro. Posit Connect i...
What is your experience regarding pricing and costs for Posit?
RStudio Pro and Workbench are quite expensive. Workbench is especially costly because it supports multiple sessions, so there's a strategy to use it only during full-phase development, then switch ...
What needs improvement with Posit?
Posit lacks a smooth solution for the build and release pipeline. Its documentation is weak, which can make installation cumbersome for someone without terminal experience. Additionally, there are ...
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.
 

Also Known As

No data available
SAP BusinessObjects Cloud
 

Overview

 

Sample Customers

Information Not Available
Live Oak Bank
Find out what your peers are saying about Posit vs. SAP Analytics Cloud and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.