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Apache Superset vs SAS Visual Analytics 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

Apache Superset
Ranking in Data Visualization
5th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
5
Ranking in other categories
No ranking in other categories
SAS Visual Analytics
Ranking in Data Visualization
7th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
39
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Data Visualization category, the mindshare of Apache Superset is 10.3%, up from 9.6% compared to the previous year. The mindshare of SAS Visual Analytics is 4.6%, down from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Muhammed Shafad - PeerSpot reviewer
Scalable platform with efficient data set creation features
It is a good visual solution tool in an open-source category. Our customers want to improve the business into a SaaS model. They analyze the telecom-based transaction data with SaaS, including the number of subscribers, usage of 4G and 5G networks, etc. The platform improved data analysis for our customers by providing a visualization library. We can drag visualization graphs to create weekly sessions. There is no need to implement any extra coding. It has no code interface allowing us to track the dimensions and measure the canvas. It automatically generates the chat once we select the graph. The most efficient features are data set creation and data manipulation. We can directly use the raw data table and summarize it dynamically by processing the data manipulation window. SQL Editor enhances the data scoring process, helping us write queries directly during dashboard discrepancy issues. We can store the query for future analysis as well. It enables a customizable integration with other data sources. The main benefit of using the product is the ability to access the data source without using any coding. Any user can create reports easily with minimal training. I recommend Apache Superset for customers who are considering open-source vendors. I rate it an eight out of ten.
Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.

Quotes from Members

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

Pros

"The no-code interface is the most valuable as it allows us to operate without constant support from the data engineering team, fostering a self-service environment."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"When you click on any chart, you can apply the filter without any effort."
"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."
"It is a good visual solution tool in an open-source category."
"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."
"The visualization capabilities and the email functionality are most beneficial."
"I use Visual Analytics for enterprise reporting."
"It provided the capability to visualize a bunch of data in an organized way."
"The speed to display charts and react to users' choices is great."
"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."
"Simplifies report designs and quickly displays tables and graphs."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
 

Cons

"The platform's reporting feature needs enhancement."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"Some capabilities are missing compared to Power BI, especially when working with spreadsheet types."
"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 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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The solution should improve its graphics."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"Apache Superset is an open-source solution."
"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."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"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."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"It's approximately $114,000 US dollars per year."
"The product is expensive."
"The cost of the solution can be expensive. There is an additional cost for users."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
14%
Manufacturing Company
8%
Government
8%
Financial Services Firm
21%
Government
12%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Apache Superset?
It is a good visual solution tool in an open-source category.
What needs improvement with Apache Superset?
With Apache Superset, we had some problems with the permissions when we had too many users. Some permissions were not really clear even after reading the documentation.
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
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?
Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Excel is more customizable compared to SAS Visual Analytics, which can be quite rigi...
 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

Information Not Available
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 Apache Superset vs. SAS Visual Analytics and other solutions. Updated: March 2025.
842,296 professionals have used our research since 2012.