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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 scalability of the solution is good; I'd rate it four out of five."
"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
"It's very good. Very good. For our use, it is better than Qlik."
"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."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"Simplifies report designs and quickly displays tables and graphs."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"Data handling is one of the best features of SAS Visual Analytics."
"I would rate the overall solution a ten out of ten."
"Visual Analytics is very easy to use."
 

Cons

"The deployment of large language models (LLMs) could be improved."
"The predictive analysis feature needs improvement."
"The predictive analysis feature needs improvement."
"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."
"The LAZR server did not like some datasets being uploaded which was perfectly fine to visualise in something as simple as Excel."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"A bit more flexibility in the temperatization will be helpful."
"If there could be 100% feasibility of forecasting feature available then we could be more accurate as it's currently 95%."
"It will be better if SAS can accommodate survey data as some organisations would like to load their survey results and analyse in SAS."
"The licensing ends up being more expensive than other options."
"SAS Visual Analytics was often prone to crashing. Modules with barely 20 to 30 GB datasets took a lot of time to load even after satisfying necessary software specifications (RAM, etc.)."
 

Pricing and Cost Advice

Information not available
"The cost of the solution can be expensive. There is an additional cost for users."
"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 quite expensive."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"The product is expensive."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"Licensing is simple."
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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%
Construction 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: March 2026.
885,837 professionals have used our research since 2012.