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Apache Superset vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Superset
Ranking in Data Visualization
4th
Average Rating
8.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
SAS Visual Analytics
Ranking in Data Visualization
9th
Average Rating
8.2
Number of Reviews
39
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Visualization category, the mindshare of Apache Superset is 10.2%, up from 6.9% compared to the previous year. The mindshare of SAS Visual Analytics is 5.2%, down from 7.1% 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.
Robert Heck - PeerSpot reviewer
A great solution for big organizations, complex business requirements, and highly sophisticated and specialized statistics
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. For instance the system does not come with a pre-defined accounting, budgeting or planning model for a particular industry. Some competitors come with such a model (e.g. for retail companies) which makes the implementation of course easier if the customer can comproise with this predefined model. SAS does not provide such models but does not demand customers to comply with a foreign business model.

Quotes from Members

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

Pros

"When you click on any chart, you can apply the filter without any effort."
"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."
"It is a good visual solution tool in an open-source category."
"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 very stable solution."
"Simplifies report designs and quickly displays tables and graphs."
"It provided the capability to visualize a bunch of data in an organized way."
"It's a stable, reliable product."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The technical support services are good."
"I use Visual Analytics for enterprise reporting."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
 

Cons

"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."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The installation process can be a bit complex."
"The integration aspects of the solution could be improved."
"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."
"A bit more flexibility in the temperatization will be helpful."
"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."
"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."
"SAS Visual Analytics could be more user-friendly."
 

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."
"$10,000 per annum for an enterprise license."
"The product is expensive."
"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."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"The cost of the solution can be expensive. There is an additional cost for users."
"The product is quite expensive."
"Licensing is simple."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Government
8%
Manufacturing Company
8%
Financial Services Firm
20%
Government
13%
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
 

Learn More

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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: October 2024.
816,406 professionals have used our research since 2012.