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Apache Superset vs Domo comparison

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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
Domo
Ranking in Data Visualization
8th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
48
Ranking in other categories
Data Integration (20th), BI (Business Intelligence) Tools (6th), Business Performance Management (8th), Reporting (4th)
 

Mindshare comparison

As of November 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.4%, down from 7.6% compared to the previous year. The mindshare of Domo is 3.5%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.4%
Domo3.5%
Other94.1%
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.
RD
Assistant Manager at a tech services company with 10,001+ employees
Have improved workflow efficiency through custom reports but encountered formatting limitations
The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in that column. If in the future they develop this feature, it will benefit more users. Domo requires maintenance on my end, such as updates. I am maintaining some dashboards on a weekly basis and monthly basis daily reports. Because we need to upload in SFTP, we cannot schedule or auto-schedule due to rate purposes. We manually handle the data sets. If there were an option to reduce the cost, it would be easier to access.

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."
"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."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"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."
"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."
"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."
"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."
"The best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool."
"On reflection, one of Domo’s strongest qualities was that the end result was extremely accessible to non-computer-literate users."
"With Domo, we can do everything in one place; we don't need a separate database, we can do ETL and the visualization in one location, it is completely cloud-based, and since we are a healthcare provider, we chose the secure PSI-certified instance of the public cloud."
"The main reason my company decided to use Domo is that it's a one-stop shop BI tool, so it solves requirements for all customers."
"With ETL transformations in SQL lists, you often write a lot of queries. You have to build a bunch of code for the data. With Domo, one of the pieces we have is Magic ETL. In Magic ETL, you don't need to write code. You don't need to be a specialist in SQL or any database query language."
"What makes me really fond of Domo is the ETL because it enables us to maximize a single platform for pulling reports and automating things. We can send the raw data from a third-party platform and do the rest of the ETL in Domo, including transforming data, adding columns, etc."
"The best improvement is the data availability; for an organization that has over 12,000 users, having data on the cloud for anyone, anytime, to see their live stats is really different."
"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."
 

Cons

"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."
"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."
"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."
"Apache Superset needs more rich charting capabilities."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The UI has issues with some browsers and small glitches that hinder performance or functionality."
"One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive."
"In Domo, sometimes it takes too much time to upload data. If improvements can happen in this area, that would be better."
"I would like to see more dashboard creation options."
"We were vastly over-sold. Domo was sold as an easy-to-implement-yourself product, but this is completely unrealistic."
"Creating tables - In the current table feature, all of the line items are just that, line items."
"The pricing of Domo is too high. Six months ago, Domo increased their prices. We suffered because we could not maintain the old data in the old data set in Domo."
"Their organization or client service didn't always keep up... They took on more and more clients and the processes slowed down a little bit."
 

Pricing and Cost Advice

"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."
"Apache Superset is an open-source solution."
"They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."
"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."
"The pricing differs from customer to customer, depending on the package."
"Domo is slightly costly but it's much cheaper than some."
"I believe that the investment in Domo was worthwhile because it allowed for the organization to jump in quickly, with little training. There are different plans available based on the requirements."
"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."
"It started out at about $600 a seat. However, then as we started to grow, it scaled that down to about $330 or 3$50 a seat, if I'm not mistaken."
"I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Comms Service Provider
8%
Government
8%
Computer Software Company
6%
Manufacturing Company
10%
Financial Services Firm
8%
Comms Service Provider
8%
Outsourcing Company
7%
 

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 Business17
Midsize Enterprise13
Large Enterprise20
 

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 ...
What is your experience regarding pricing and costs for Domo?
My experience with pricing, setup cost, and licensing is that there was very little.
What needs improvement with Domo?
I'm not sure how Domo can be improved overall, as it's a really good experience.
What is your primary use case for Domo?
My main use case for Domo involves building different tables and different cards so I can look at different data points. A quick specific example of a table I have built or a data point I often loo...
 

Comparisons

 

Also Known As

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corda
 

Overview

 

Sample Customers

Information Not Available
Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Find out what your peers are saying about Apache Superset vs. Domo and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.