Apache Superset vs Domo comparison

"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."

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

"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."

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

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

"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."

"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."

"With ETL transformations in SQL lists, you often write a lot of queries. You have to build a bunch of code for the data. With Domo, one of the pieces we have is Magic ETL. In Magic ETL, you don't need to write code. You don't need to be a specialist in SQL or any database query language."

"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."

"We have found securing data valuable because it allows us to provide information without identifying individuals."

"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."

"What makes me really fond of Domo is the ETL because it enables us to maximize a single platform for pulling reports and automating things. We can send the raw data from a third-party platform and do the rest of the ETL in Domo, including transforming data, adding columns, etc."

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

"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."

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

"The platform's reporting feature needs enhancement."

"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."

"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."

"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."

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

"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."

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

"It is expensive."

"Apache Superset is open-source and free."

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

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

"Apache Superset is an open-source solution."

"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."

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

"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."

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

"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."

"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."