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).

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Apache Superset vs. Domo

June 2026

Helped 908,800 peers since 2012

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

7th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (19th), BI (Business Intelligence) Tools (6th), Business Performance Management (7th), Reporting (4th)

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 Domo is 3.8%, down from 9.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Apache Superset	2.7%
Domo	3.8%
Other	93.5%

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 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."

"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."

"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."

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

"What I appreciate the most about Apache Superset is that it's free and easy to set up."

"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

"On reflection, one of Domo’s strongest qualities was that the end result was extremely accessible to non-computer-literate users."

"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."

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

"If I had to choose something of value, I suppose I would have to say it's the ease of making graphs."

"It has helped with productivity and efficiency, saving me an estimated 10 to 15 hours a week and enabling our team to share real-time, accurate data across the country so business decisions are made more efficiently and accurately."

"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."

"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."

"The flexibility and usability are probably the best features, and I really appreciate what they're doing now with workflow and AI agents, allowing users to build that kind of agentic flow where data analytics and traditional ETL can quickly and easily embed AI capabilities, which is extremely powerful."

More Domo pros

Cons

"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."

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

"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."

"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."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

More Apache Superset cons

"Domo is losing out in the pricing area. We tried pitching Domo to many of our clients, and they liked it initially, but the pricing point was something they were not comfortable with."

"If we have unwanted data in our data set as raw data, we need to cleanse and structure it first because having excessive data in Domo will increase loading time and occupy large amounts of space."

"I would like to see improved data intake."

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

"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."

"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."

"Domo as a solution can be improved in various ways."

"I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster."

More Domo cons

Pricing and Cost Advice

"Apache Superset is an open-source solution."

"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."

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

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

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

"Because it's software as a service, it's more expensive on the face of it. But there are a lot of variables. I don't have to pay for servers or for infrastructure. I don't have to pay labor for my IT organization to set up or maintain the environment. I don't have to pay for them to upgrade the software, and test it, etc., because when it rolls out, it is transparent and seamless for us. But, because of that, it costs more, I imagine, than Sisense, or Yellowfin, or Power BI. A lot of those make it sound like they're inexpensive, but when you add in all the hidden costs and all of the overhead, it's probably comparable."

"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 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."

"I think it is reasonable."

"It is on the pricier end."

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Government

Computer Software Company

Comms Service Provider

Manufacturing Company

Financial Services Firm

University

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 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 2% of the time

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Product Reports

Download Apache Superset product report

Apache Superset

August 2026

Download Domo product report

August 2026

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!