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: January 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

4th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Domo

Ranking in Data Visualization

7th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (30th), BI (Business Intelligence) Tools (11th), Business Performance Management (13th), Reporting (8th)

Mindshare comparison

As of January 2025, in the Data Visualization category, the mindshare of Apache Superset is 10.8%, up from 8.3% compared to the previous year. The mindshare of Domo is 14.1%, up from 9.5% 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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James John Wilson

Business Development Manager at Freelancer

Robust, powerful, and easy to use

There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two. However, they were particular. What I wanted to see was the ability to collapse when you group a set of rows, let's say when you group them by status or health, so you have your red projects grouped up top. I wanted to compress or collapse that group of red and then open the yellow projects and then the green projects. There were a bit more features in the tables than I wanted to see. They have a widget that you can use either in Microsoft PowerPoint to pull over data into your PowerPoints and refresh graphs or charts or metrics or tables. I would love to see that available in Google Slides. I used it successfully in PowerPoint; however, at one company, they were only using Google products, and so that widget didn't help with reporting in slides. Therefore, we had to do a bit more manual work for our quarterly business reviews or monthly business reviews to produce our executive presentations. Sometimes the fonts were difficult to read if you're trying to put a lot of data in a table and show a lot of rows. Sometimes the fonts got too light, and you had to really play with it to try and figure out how to make it readable. One thing I had to do, and I don't know if it's necessarily a bad thing, was when I was running a meeting, I would have to go turn off the data jobs. If I was running a meeting and a lot of times people were scrambling in the background to do their updates even as the meeting was occurring, it would cause the page to render very slowly. It would sometimes pause or freeze. I found that if I went and turned off the status, the data update jobs that we're pulling data from Smartsheet, then the meetings would work more smoothly, and there were no interruptions or delays.

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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."

"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."

"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 is highly stable."

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

"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."

"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."

"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."

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

"The user interface is quite good."

"The ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."

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."

"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."

"The platform's reporting feature needs enhancement."

"Data integration is okay, but not the best."

"It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time."

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

"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."

"It is expensive."

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

"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."

"They should include service-based reporting features."

More Domo cons

Pricing and Cost Advice

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

"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."

"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'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."

"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."

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

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

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

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

More Domo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

15%

Government

Manufacturing Company

Computer Software Company

12%

University

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

With Apache Superset, we had some problems with the permissions when we had too many users. Some permissions were not really clear even after reading the documentation.

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?

I'm not sure about the pricing. We just use it.

What needs improvement with Domo?

Dashboard settings in Domo are not much different from other platforms like Power BI. Data integration is okay, but not the best. Additionally, sometimes, if you want to revert data, Domo lacks fea...

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Comparisons

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Splunk Enterprise Platform vs Apache Superset

Compared 9% of the time

Sisense vs Apache Superset

Compared 8% of the time

RStudio Connect vs Apache Superset

Compared 4% of the time

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Compared 44% of the time

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Compared 39% of the time

Databricks vs Domo

Compared 3% of the time

Palantir Foundry vs Domo

Compared 3% of the time

Amazon QuickSight vs Domo

Compared 1% of the time

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Product Reports

Apache Superset

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Also Known As

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Apache

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.

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.

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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