Apache Superset vs Domo comparison

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Apache Superset

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Executive SummaryUpdated on Jan 1, 2025

Domo and Apache Superset compete in the business intelligence and data visualization category. Based on reviews, Domo holds the upper hand for large-scale corporate deployments due to its user-friendly approach and comprehensive data integrations, while Apache Superset is favored for flexibility and cost efficiency due to its open-source nature.

Features: Domo integrates complex reporting tools into a single dashboard and provides a wide range of data connectors and ETL capabilities. Its cloud-based storage efficiency and built-in connectors are beneficial for rapid dashboard creation. Apache Superset is user-friendly, allowing easy dashboard configuration with its no-code interface and a broad array of charts, promoting self-service and adaptability.

Room for Improvement: Domo needs to improve data management, visualization options, and performance with large datasets. Enhancements are needed in real-time reporting, dashboard sharing, and visualization creation. Apache Superset requires better documentation and interactivity for user engagement, alongside an expansion of dynamic features to streamline operations.

Ease of Deployment and Customer Service: Domo offers flexible deployment across on-premises, public cloud, private cloud, and hybrid environments, but customer service response times vary. Apache Superset is used in public and private cloud environments, facing initial setup challenges but benefits from a broad open-source community. Improved support and documentation are needed.

Pricing and ROI: Domo is expensive with mixed cost-effectiveness perceptions, yet it offers significant ROI through data management and insights. Apache Superset, being open-source, is cost-efficient, appealing to organizations requiring budget-friendly solutions and allows cost-benefit analysis against operational expenses. Domo provides quicker execution ROI but at a higher initial cost than Superset's economical approach.

To learn more, read our detailed Apache Superset vs. Domo Report (Updated: September 2026).

Apache Superset vs. Domo

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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

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

Ranking in other categories

Data Integration (18th), BI (Business Intelligence) Tools (6th), Business Performance Management (7th), Reporting (4th)

Mindshare comparison

As of September 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.5%, down from 9.1% compared to the previous year. The mindshare of Domo is 3.6%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Apache Superset	2.5%
Domo	3.6%
Other	93.9%

Data Visualization

Featured Reviews

ManibabuPippalla

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.

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Ruban Prasanna Dass SP

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.

Read full review

Quotes from Members

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

Pros

"It's very easy, reliable, and trustable because it's an Apache open-source product."

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."

"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 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."

"The solution supports a rich set of charts and enables users to create their own dashboards."

"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."

More Apache Superset pros

"One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs."

"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."

"The ease of graphing is a great feature, as it takes the pivot out of pivot tables because once the parameters are set up, the same graphs will continue to be populated based on the new information so there is no need to keep creating graphs."

"The fact that you can add any data source is valuable. The entire data handling suite they have, all the apps, etc., is pretty amazing. One of the key things, not being a techie or a data-warehouse guy, is that you can connect data sources, and do all kinds of pretty amazing things."

"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."

"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."

"In general, Domo is very powerful and very easy to use, relatively speaking."

"It's pretty stable, and with the APIs, I haven't encountered major issues with Domo."

More Domo pros

Cons

"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."

"With Apache Superset, we had some problems with the permissions when we had too many users."

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."

"Apache Superset needs more rich charting capabilities."

"I had issues when trying to export and import dashboards; I could not do it on the first attempt."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

"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."

"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."

More Apache Superset cons

"The UI has issues with some browsers and small glitches that hinder performance or functionality."

"In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side."

"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."

"One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive."

"However, this product has not been tested on a robust enterprise-scale application where we handle billions and billions of records, so this is where we see the application breathing out a bit."

"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."

"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."

"You can drag and drop your ETL tool, but it doesn't really work for a large amount of data."

More Domo cons

Pricing and Cost Advice

"Apache Superset is an open-source solution."

"Apache Superset has a three-year licensing model."

"Apache Superset is open-source and free."

"The price of Apache Superset is less than some of its competitors."

"I think it is reasonable."

"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."

"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 is on the pricier end."

"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."

"We are making money from Domo, and all our clients are happy with the information that they receive from it."

"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."

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Government

Comms Service Provider

Computer Software Company

Manufacturing Company

10%

Financial Services Firm

Outsourcing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	13
Large Enterprise	20

Questions from the Community

What needs improvement with Apache Superset?

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...

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Compared 17% of the time

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Compared 2% of the time

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Product Reports

Apache Superset

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Also Known As

No data available

corda

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

Domo provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.

Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.

What are the key features of Domo?

Self-Service BI: Generate reports without a data warehouse for simplified analysis.
Data Integration: Leverage Magic ETL for easy data management.
Customizable Dashboards: Tailor dashboards to specific needs.
AI-Driven Insights: Gain automated insights for better decision-making.
Extensive Data Connectors: Access a wide range of data sources.

What benefits should users look for when evaluating Domo?

Accessibility: Cloud-based structure ensures data access anywhere.
Performance: Enhanced performance with seamless data processing.
Collaboration: Facilitate secure sharing and collaboration for collective insights.
Decision-Making: Enable data-driven decisions with real-time analytics.

In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.

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!

Apache Superset vs. Domo