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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 (17th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (11th)
 

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 1.8% mindshare, down 4.6% since last year.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Domino Data Science Platform2.2%
Databricks9.3%
KNIME Business Hub6.8%
Other81.7%
Data Science Platforms
Data Visualization Mindshare Distribution
ProductMindshare (%)
SAS Visual Analytics1.8%
Tableau Enterprise11.0%
Domo5.7%
Other81.5%
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

"We primarily use the solution for customer retention, but there are a lot of use cases for this particular product."
"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."
"Users from the most non-technical backgrounds can use this tool to pull out valuable insights from their data."
"The technical support services are good."
"Data handling is one of the best features of SAS Visual Analytics."
"It's an easy to use solution, it's relatively simple to create basic dashboards and reports."
"It was helpful for creating KPI dashboards to report the status of the operations of the entire company to the management."
"SAS VA is an amazing tool for handling complex data models."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"In short it is a powerful analytical tool display, which is an interesting option for companies without having to make a large initial investment, want to start making analytical, with the ability to scale and grow into other tools."
 

Cons

"The predictive analysis feature needs improvement."
"The predictive analysis feature needs improvement."
"The deployment of large language models (LLMs) could be improved."
"It will be better if SAS can accommodate survey data as some organisations would like to load their survey results and analyse in SAS."
"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."
"If there could be 100% feasibility of forecasting feature available then we could be more accurate as it's currently 95%."
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"Some capabilities are missing compared to Power BI, especially when working with spreadsheet types."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"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."
 

Pricing and Cost Advice

Information not available
"It was licensed for corporate use, and its licensing was on a yearly basis."
"Licensing is simple."
"The cost of the solution can be expensive. There is an additional cost for users."
"The product is quite expensive."
"The product is expensive."
"$10,000 per annum for an enterprise license."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"It's approximately $114,000 US dollars per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
36%
Manufacturing Company
8%
Insurance Company
8%
Healthcare Company
6%
Financial Services Firm
15%
Government
10%
University
7%
Construction Company
6%
 

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: March 2026.
885,311 professionals have used our research since 2012.