Try our new research platform with insights from 80,000+ expert users

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
2nd
Average Rating
8.2
Reviews Sentiment
4.4
Number of Reviews
12
Ranking in other categories
No ranking in other categories
SAS Visual Analytics
Ranking in Data Visualization
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.3%, down from 10.3% compared to the previous year. The mindshare of SAS Visual Analytics is 3.4%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Apache Superset9.3%
SAS Visual Analytics3.4%
Other87.3%
Data Visualization
 

Featured Reviews

Md Ariful Islam - PeerSpot reviewer
Provides robust search capabilities with potential for additional features
The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.
Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.

Quotes from Members

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

Pros

"The solution supports a rich set of charts and enables users to create their own dashboards."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"The benefits I have seen from using Apache Superset for the business team are that they have been able to look at the numbers easily, log into the portal, and look at different dashboards, which are at different granularities."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"It is a good visual solution tool in an open-source category."
"Apache Superset allows us to set up alerts; for instance, if the failure rate exceeds 1.5%, we receive an alert to address the issue with our integration partners."
"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."
"When you click on any chart, you can apply the filter without any effort."
"It provided the capability to visualize a bunch of data in an organized way."
"It's relatively simple to create basic dashboards and reports."
"It integrates well with SAS, making it simple and quick for developers."
"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."
"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."
"It is a very stable solution."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
 

Cons

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"The platform's reporting feature needs enhancement."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Dark mode would be the main thing I would like; it does not really work because the chart text cannot be white in a dark mode setup, so it is not feasible."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"There are certain shortcomings in the tool's support services, making it an area where improvements are required."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."
"Colours used on report objects"
"The integration aspects of the solution could be improved."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The licensing ends up being more expensive than other options."
"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

"Apache Superset is an open-source solution."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"The cost of the solution can be expensive. There is an additional cost for users."
"Licensing is simple."
"$10,000 per annum for an enterprise license."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"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."
"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."
report
Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
867,676 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
13%
Government
8%
Healthcare Company
7%
Financial Services Firm
19%
Government
10%
Computer Software Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

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?
Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...
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?
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...
 

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: September 2025.
867,676 professionals have used our research since 2012.