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RStudio Connect vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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

RStudio Connect
Ranking in Data Visualization
21st
Average Rating
6.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
Reporting (22nd)
SAS Visual Analytics
Ranking in Data Visualization
12th
Average Rating
8.2
Reviews Sentiment
5.7
Number of Reviews
41
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of RStudio Connect is 1.0%, up from 0.9% compared to the previous year. The mindshare of SAS Visual Analytics is 1.6%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
SAS Visual Analytics1.6%
RStudio Connect1.0%
Other97.4%
Data Visualization
 

Featured Reviews

LM
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Graphical learning experience needs improvement but handles large datasets effectively
RStudio Connect is very powerful statistically and can handle large datasets, even on a free version on a laptop. It offers excellent customer service and educational resources. KNIME allows for visual data manipulation, with nodes representing operations, making it user-friendly and effective for statistical analysis and predictions. I appreciate its ability to integrate R or Python scripts, combining ease of use with powerful procedures.
Namanjbaraiya Baru - PeerSpot reviewer
Biostatistician at Lambda Therapeutic Research Ltd.
Interactive dashboards have transformed clinical reporting and now support real time decisions
The best features of SAS Visual Analytics include performing data manipulation. I would characterize this as making data ready, transforming data, and making new variables through code while utilizing low-code and no-code facilities. In my experience, low-code features in SAS Visual Analytics help when I need to create a new variable. For instance, I can extract a date through the data roll step, and with no-code features, I can perform report creation by simply using drag and drop functionality. After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.

Quotes from Members

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

Pros

"RStudio Connect is very powerful statistically and can handle large datasets, even on a free version on a laptop."
"Everything we want out of this solution we get in terms of the user requirements and features."
"The features I found most valuable were the quick visualizations and the ease with which one could explore data sets."
"The variety of graphs and charts make it easy to show the data in a way that's easy to interpret."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It's very good. Very good. For our use, it is better than Qlik."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The correlation gives us a better understanding of new data."
 

Cons

"I rate my experience with RStudio Connect as average because I am not yet comfortable enough to provide a definitive assessment."
"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The integration aspects of the solution could be improved."
"It takes a lot of effort to stabilize. We need to change some hardware and configurations to stabilize the solution."
"It is expensive. This is BI at the the high end."
"The licensing ends up being more expensive than other options."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"Regarding performance, they have some issues. They have always had some issues there."
 

Pricing and Cost Advice

Information not available
"The cost of the solution can be expensive. There is an additional cost for users."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"$10,000 per annum for an enterprise license."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"Licensing is simple."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"The product is expensive."
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Top Industries

By visitors reading reviews
Government
15%
Financial Services Firm
13%
Manufacturing Company
9%
Healthcare Company
8%
Financial Services Firm
13%
Construction Company
10%
Government
10%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise10
Large Enterprise19
 

Questions from the Community

What is your experience regarding pricing and costs for RStudio Connect?
Both KNIME and RStudio Connect are free to use on a laptop. However, if I want to use a big server version, it is subsidized.
What needs improvement with RStudio Connect?
It could work on visibility or improve that. In RStudio Connect ( /products/rstudio-connect-reviews ), the learning process is not as graphical as KNIME ( /products/knime-reviews ). Although I can ...
What is your primary use case for RStudio Connect?
I use the software primarily for statistics. I have used it on census data from the UK, which covers millions of individuals. Additionally, I have utilized it for surveys and educational purposes, ...
What is your experience regarding pricing and costs for SAS Visual Analytics?
My experience with pricing, setup costs, and licensing was positive, and I am happy with it.
What needs improvement with SAS Visual Analytics?
SAS Visual Analytics offers many options, and new users unfamiliar with SAS might face some difficulties. Training on SAS Visual Analytics is required to help overcome these issues.
What is your primary use case for SAS Visual Analytics?
My main use case for SAS Visual Analytics is making visual reports such as graphs, gauge plots, outlier plots, geomaps, and presenting my clinical data into a report or an interactive dashboard whi...
 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

ENERGETIC INSURANCE, PRECISION ANALYTICS, REDFIN, TWO SIX CAPITALSTACK OVERFLOW, LIBERTY MUTUAL, EDUCATION SUPERHIGHWAY, UNIVERSITY OF OXFORD
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about RStudio Connect vs. SAS Visual Analytics and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.