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Domino Data Science Platform 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

Domino Data Science Platform
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
2
Ranking in other categories
Data Science Platforms (18th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (10th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Domino Data Science Platform is designed for Data Science Platforms and holds a mindshare of 2.2%, down 2.5% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 1.9% mindshare, down 4.7% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Domino Data Science Platform2.2%
Databricks9.3%
KNIME Business Hub7.5%
Other81.0%
Data Science Platforms
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics1.9%
Tableau Enterprise10.1%
Qlik Sense5.3%
Other82.7%
Data Visualization
 

Featured Reviews

AS
Machine Learning Engineer at Unemployed
Accelerated machine learning model development with seamless deployment
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.

Quotes from Members

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

Pros

"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
"The scalability of the solution is good; I'd rate it four out of five."
"It integrates well with SAS, making it simple and quick for developers."
"Data handling is one of the best features of SAS Visual Analytics."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"It provided the capability to visualize a bunch of data in an organized way."
"The technical support services are good."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The speed to display charts and react to users' choices is great."
 

Cons

"The predictive analysis feature needs improvement."
"The deployment of large language models (LLMs) could be improved."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"SAS Visual Analytics could be more user-friendly."
"The installation process can be a bit complex."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The product is expensive and needs the integration of more languages."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
 

Pricing and Cost Advice

Information not available
"The cost of the solution can be expensive. There is an additional cost for users."
"$10,000 per annum for an enterprise license."
"It's approximately $114,000 US dollars per year."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The product is expensive."
"Licensing is simple."
"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."
"SAS Visual Analytics is expensive, as is the rest of the platform."
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Top Industries

By visitors reading reviews
Financial Services Firm
38%
Insurance Company
8%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
17%
Government
10%
Computer Software Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

What needs improvement with Domino Data Science Platform?
The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that cannot handle big deployments, which is not suitable for LLMs.
What is your primary use case for Domino Data Science Platform?
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar...
What advice do you have for others considering Domino Data Science Platform?
It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying solely on data scientists might not be sufficient. I'd rate the solution eight out...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysis on ICT expenditure information and ICT personnel information. The analytics ar...
 

Also Known As

Domino Data Lab Platform
SAS BI
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life
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 Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: January 2026.
881,346 professionals have used our research since 2012.