No more typing reviews! Try our Samantha, our new voice AI agent.

Apache Superset vs Dundas BI comparison

Why PeerSpot?
 

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
5.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Dundas BI
Ranking in Data Visualization
30th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
Embedded BI (15th)
 

Mindshare comparison

As of October 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.5%, down from 9.0% compared to the previous year. The mindshare of Dundas BI is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.5%
Dundas BI0.9%
Other96.6%
Data Visualization
 

Featured Reviews

MP
Founder & CEO at Lanzar
Have saved significant operational costs and streamlined alert-driven analytics with customizable dashboards
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Based Access Control feature in the product. I assess this feature as good; they have permissions which are in more plain English, but there is a little bit of convenience missed out because if I have to create a super user apart from admin, I need to add all the permissions manually.
Ishwar Saswade - PeerSpot reviewer
Consultant at Techknomatic Services Private Limited
Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult
With Dundas BI, we do not have end-users apart from the developers. End-users do not find it easy to create their own reports. Most of the implementations I have seen require a developer team for creating the visuals, and they then give them to end-users. A self-serve part where end-users or business users can create their own reports would help in terms of the adoption of Dundas BI. Currently, business users find it difficult to work with Dundas BI because there are so many settings that they don't know what they need to do. Even when a developer starts working on Dundas BI, he needs to spend at least one month or so getting used to the functionalities of Dundas BI. Even then, it is not easy to remember where or how they made a certain property change. It takes at least one month for a developer to get acquainted with it. Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart. Dundas can further reduce the number of settings they have. When you create any chart in Dundas, you get a lot of features to control each setting, which is pretty useful for BI, but for end-users, it is difficult to identify the exact settings to change a property. I would love it if some of the options come pre-selected. If some of the settings are set to best practices by default, it will be helpful. Whenever we have any issues, the error messages that we get in Dundas BI are not very helpful in identifying the root cause. Making these changes will bring a lot of change to the end-user experience.

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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"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's very easy, reliable, and trustable because it's an Apache open-source product."
"The main benefit I have seen from working with Apache Superset so far is the speed from discovery and SQL to making charts and dashboards, along with its customizability."
"Apache Superset is a lightweight reporting tool with a lot of functions and flexibility, where you can build the dataset, build charts, and dashboards from the user interface."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"I see savings from using Apache Superset in both time and money, particularly with the cost reduced by roughly 99% compared to Tableau where we previously paid almost 50k annually."
"An excellent IDE, that makes building views, like reports and dashboards a breeze."
"As we are working as "digital transformakers," this product helped us to transform our clients' businesses to be data-driven, and added business value."
"It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI."
"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."
"We have greatly improved accessibility and visibility into our data and reduced the number of manually created reports and one-off data pull requests."
"The primary reasons why the client opted for Dundas BI were the cost, integration options, and creative visuals."
"We use Dundas to report on machine sensor data and create dashboards."
"The simplicity involved in generating dashboards has dramatically increased the number of dashboards we can get into the hands of users each month."
 

Cons

"Apache Superset needs more rich charting capabilities."
"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."
"The scalability of Apache Superset has been one of the challenges for us. We deployed it onto a bigger machine because as the users grew, we experienced a delay in data retrieval."
"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."
"One potential area for improvement in Apache Superset is that it must be installed in a dedicated Docker image, which could be a limitation since the goal is to embed Apache Superset in a product offering."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Lacks sufficient online support."
"For a developer, it is really annoying that the Solution Explorer is not visible unless you have something checked out."
"The API they have can do just about anything, but their documentation on the API and examples are only for some of the basics."
"The addition of funnel charts to the visualization options would be great."
"Some minor technicalities that typically end up getting solved by the awesome support team."
"As with any software there are features that are not operating as expected or that could be improved."
"Currently, business users find it difficult to work with Dundas BI because there are so many settings that they don't know what they need to do."
"I would love to see more functions built in inside the application, instead of being scripted."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset is an open-source solution."
"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"I am not majorly involved in its licensing. We are not the end license purchaser of the Dundas BI. It costs somewhere around $4,000 a year for the enterprise solution, but I am not sure."
"I'm not aware of its cost. Its licensing was probably role-wise. Most of us had reader access, editor access, or developer access. For admin, there were certain restrictions. So, I'm assuming it had role-wise licensing."
report
Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
917,433 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Government
8%
Comms Service Provider
8%
Computer Software Company
6%
Outsourcing Company
16%
Construction Company
14%
Comms Service Provider
11%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise5
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise3
Large Enterprise7
 

Questions from the Community

What needs improvement with Apache Superset?
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Ba...
What is your primary use case for Apache Superset?
My major use case for Apache Superset is anything related to analytical dashboards.
What advice do you have for others considering Apache Superset?
In terms of dashboarding tools, I work with them on a daily basis and can help with Apache Superset. We use Apache Superset for dashboarding. I always use it for read purposes, and we don't manage ...
Ask a question
Earn 20 points
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Coca Cola, Siemens, Verizon, Microsoft, Pitney Bowes, Scotiabank, Pepperidge Farm, Shutterstock, Norwegian Government, Boeing, Guess Inc., BP, Bayer
Find out what your peers are saying about Apache Superset vs. Dundas BI and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.