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Apache Superset vs GoodData 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
5.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
GoodData
Ranking in Data Visualization
24th
Average Rating
7.0
Reviews Sentiment
8.1
Number of Reviews
2
Ranking in other categories
Embedded BI (14th)
 

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.7%, down from 9.9% compared to the previous year. The mindshare of GoodData is 1.4%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.7%
GoodData1.4%
Other95.9%
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.
it_user241098 - PeerSpot reviewer
Engagement Manager at a tech services company with 501-1,000 employees
​Setup is straightforward from a business user standpoint but MAQL needs to be easier.
Cloud connect Report generator MAQL needs to be easier Better row-level security for end-users I've used it for nine months, mainly for implementation and delivery to customers. No issues encountered. No issues encountered. When the source is big and/or the source is Netsuite there are…

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."
"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."
"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"It is a good visual solution tool in an open-source category."
"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."
"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."
"It's a good product for your end to end BI needs when its all on the cloud."
 

Cons

"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."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"Apache Superset needs more rich charting capabilities."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Areas of Apache Superset that could be improved include enhancing the data visualization features and addressing the overall data sourcing limitations, such as the 800 kilobyte limit per query that sometimes restricts our analysis, especially if we need to access data from many years back."
"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."
"When the source is big and/or the source is Netsuite there are issues."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Government
7%
Computer Software Company
7%
Comms Service Provider
7%
Construction Company
21%
Comms Service Provider
14%
Manufacturing Company
9%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise5
No data available
 

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
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Comparisons

 

Overview

 

Sample Customers

Information Not Available
AutoPilot, Redbubble, showpad, SpareFoot, LogMeIn, CSC
Find out what your peers are saying about Salesforce, Splunk, SAP and others in Data Visualization. Updated: August 2026.
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