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: July 2025).

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Apache Superset vs. Domo

July 2025

Helped 865,295 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

2nd

Average Rating

8.4

Reviews Sentiment

4.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Domo

Ranking in Data Visualization

10th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (40th), BI (Business Intelligence) Tools (13th), Business Performance Management (13th), Reporting (10th)

Mindshare comparison

As of August 2025, in the Data Visualization category, the mindshare of Apache Superset is 10.2%, down from 10.4% compared to the previous year. The mindshare of Domo is 9.4%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Muhammed Shafad

Senior Data Analyst at 6d Technologies

Scalable platform with efficient data set creation features

It is a good visual solution tool in an open-source category. Our customers want to improve the business into a SaaS model. They analyze the telecom-based transaction data with SaaS, including the number of subscribers, usage of 4G and 5G networks, etc. The platform improved data analysis for our customers by providing a visualization library. We can drag visualization graphs to create weekly sessions. There is no need to implement any extra coding. It has no code interface allowing us to track the dimensions and measure the canvas. It automatically generates the chat once we select the graph. The most efficient features are data set creation and data manipulation. We can directly use the raw data table and summarize it dynamically by processing the data manipulation window. SQL Editor enhances the data scoring process, helping us write queries directly during dashboard discrepancy issues. We can store the query for future analysis as well. It enables a customizable integration with other data sources. The main benefit of using the product is the ability to access the data source without using any coding. Any user can create reports easily with minimal training. I recommend Apache Superset for customers who are considering open-source vendors. I rate it an eight out of ten.

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Sumit Chakraborty

Vice President at Indium Software - Independent Software Testing Company

Fast installation, reliable, with proven results for small to mid-size companies

The scalability is excellent. We have input close to fifty billion rows in Domo, and this is where we saw the cards winded in pretty slowly. So we had a performance issue there, but say maximum up to twenty-five to thirty billion, this product is flawless. But when we talk about big data analytics with too many self-service components, this is where we see some performance depreciation. We have more than two hundred using the solution.

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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

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

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

"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."

"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."

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

"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."

"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."

More Apache Superset pros

"This solution allows us to change our performance metrics and tracks our goals in real-time."

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

"The ability to create custom connectors was useful because you never know, with customers, what platform they want to utilize or what data they have. It gave us a lot of flexibility in being able to bring data in from different places."

"The pipeline features and data ingestions in Domo are quite good."

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

"The dashboard is the most valuable feature and allows for customization to create and share reports."

"The user interface is quite good."

More Domo pros

Cons

"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."

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

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

"The platform's reporting feature needs enhancement."

"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."

"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."

"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."

"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."

"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 should include service-based reporting features."

"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."

"The preconfigured apps need to be more relevant to allow one, out of the box, to load data in order to use pre-set reports/views."

"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 has a three-year licensing model."

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

"Apache Superset is open-source and free."

"Apache Superset is an open-source solution."

"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."

"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 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."

"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 pricing differs from customer to customer, depending on the package."

"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."

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

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

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

14%

Government

Healthcare Company

University

12%

Computer Software Company

11%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

What needs improvement with Apache Superset?

Apache Superset needs more rich charting capabilities. Second, it could benefit from more real-time capabilities, such as real-time streams over WebSockets. Also, permissions-wise, it should be les...

What do you like most about Domo?

All our client SLAs and daily and weekly dashboards are tracked on Domo.

What is your experience regarding pricing and costs for Domo?

Domo is expensive compared to other solutions.

What needs improvement with Domo?

Domo is the premium option of all the choices. It has fancy features including a built-in chat program with the Buzz feature that no one uses. When I arrived about a year ago, we had 12 different w...

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Comparisons

Compared 22% of the time

Tableau Enterprise vs Apache Superset

Compared 18% of the time

Sigma vs Apache Superset

Compared 8% of the time

Sisense vs Apache Superset

Compared 7% of the time

IBM Cognos Dashboard vs Apache Superset

Compared 4% of the time

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Tableau Enterprise vs Domo

Compared 35% of the time

Microsoft Power BI vs Domo

Compared 34% of the time

Palantir Foundry vs Domo

Compared 5% of the time

Databricks vs Domo

Compared 3% of the time

Looker vs Domo

Compared 1% of the time

More Domo Competitors

Product Reports

Download Apache Superset product report

Apache Superset

August 2025

Download Domo product report

August 2025

Also Known As

No data available

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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 is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

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!