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: June 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

3rd

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

7th

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 (6th), Reporting (4th)

Mindshare comparison

As of June 2026, in the Data Visualization category, the mindshare of Apache Superset is 3.0%, down from 10.7% compared to the previous year. The mindshare of Domo is 3.7%, down from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Apache Superset	3.0%
Domo	3.7%
Other	93.3%

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.

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Quotes from Members

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

Pros

"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."

"When you click on any chart, you can apply the filter without any effort."

"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."

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

"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."

"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."

More Apache Superset pros

"The one thing that stands out in case of Domo is that you have everything under the same tool; you don't have to log in into any particular cloud services to have access to that platform as it's just a web-hosted platform and everything related to data engineering, data science, ETL, everything comes under the same umbrella."

"Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo."

"The tool has some potential, but as of two years ago, it was still a long way from fulfilling on the promise."

"It has the best GUI. And it already has an ETL tool embedded in it..."

"It's a night and day change."

"Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want."

"Once the data source has been uploaded to Domo, making graphs is quite easy."

"The ease of use, overall, is one of the valuable features, as is the ease of setup. Other than making sure IT was aware of, and agreed with our proceeding, we did not need IT for any of the setup. The ease of setup is more valuable than you might think. The ease of configuring the security policies, setting up groups, and setting up personalized data permissions so that only certain people can see certain data — that stuff is amazing... Domo really is extraordinarily full-featured, but it's really easy to use."

More Domo pros

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."

"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."

"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."

"The platform's reporting feature needs enhancement."

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

"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."

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."

More Apache Superset cons

"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."

"The tool is rather pricey for what you get, especially if you use lots of API-based data sources (since in general you have to go through their consulting arm to set up new sources or arrange for new queries to existing after initial set up at ~$225 per hour)."

"One of the improvements that could be made is related to improved storage options."

"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."

"The ETL way of storing is not up to mark. You have to rely on the naming convention that you're using in Domo because there are no folder systems where you can collate all your workflows and put them into separate folders. A folder system should be there so you can easily identify how you are working. Once you want to make some changes to your ETL, then you can see the whole lineage, identifying what is there and not there."

"I would like to see improved data intake."

"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet."

"I'm not in love with Domo. I have some issues with it."

More Domo cons

Pricing and Cost Advice

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

"Apache Superset is open-source and free."

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

"Apache Superset is an open-source solution."

"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."

"Domo is slightly costly but it's much cheaper than some."

"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."

"The solution is expensive compared to one of its competitors."

"For about 100 users our cost is $95,800."

"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."

"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."

"I think it is reasonable."

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

Government

Comms Service Provider

Manufacturing Company

10%

University

Financial Services Firm

Comms Service Provider

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 is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

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 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 2% 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

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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