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 2025).

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

2nd

Average Rating

8.2

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Domo

Ranking in Data Visualization

7th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (24th), BI (Business Intelligence) Tools (6th), Business Performance Management (10th), Reporting (8th)

Mindshare comparison

As of October 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.2%, down from 10.2% compared to the previous year. The mindshare of Domo is 7.9%, down from 12.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	9.2%
Domo	7.9%
Other	82.9%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

Provides robust search capabilities with potential for additional features

The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.

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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

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

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

"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."

"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."

"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."

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

More Apache Superset pros

"Domo is a local company, and I have found it to be rock solid."

"The most valuable feature currently is the self-service BI availability in Domo. I would say the data file fabric solutions where the users themselves are responsible for generating their own reports."

"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."

"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 best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."

"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."

"I mostly see it as an ETL which has many system connectors. It does a good job of ETL."

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

More Domo pros

Cons

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

"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."

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

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

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

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

"The platform's reporting feature needs enhancement."

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

"I would like to see more dashboard creation options."

"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."

"I would like to see better data intake."

"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."

"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."

"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."

"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."

"There's a learning curve before you can get used to the solution."

More Domo cons

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."

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

"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."

"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."

"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."

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

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

12%

Government

Healthcare Company

University

12%

Computer Software Company

10%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	11
Large Enterprise	19

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 has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...

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's pricing is high compared to other BI tools, and it is costly. I do not find Domo cost-effective; it would be very hard if it is a single user. However, if it goes with the organization's uti...

What needs improvement with Domo?

I have not used Domo's collaborative features extensively. Regarding Domo's AI-driven insights in uncovering trends and forecasting outcomes, the limiting factor is that you need to define all of y...

Qlik Sense vs Apache Superset

Comparisons

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Compared 9% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 7% of the time

Zoho Analytics vs Apache Superset

Compared 3% of the time

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Tableau Enterprise vs Domo

Compared 35% of the time

Microsoft Power BI vs Domo

Compared 31% of the time

Palantir Foundry vs Domo

Compared 5% of the time

QlikView vs Domo

Compared 4% of the time

Sisense vs Domo

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 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!

Apache Superset vs. Domo