We performed a comparison between Databricks and Domo based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is very simple and stable."
"The main features of the solution are efficiency."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The solution is an impressive tool for data migration and integration."
"Databricks' most valuable feature is the data transformation through PySpark."
"There are good features for turning off clusters."
"Automation with Databricks is very easy when using the API."
"It can send out large data amounts."
"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 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 fact that you can add any data source is valuable. The entire data handling suite they have, all the apps, etc., is pretty amazing. One of the key things, not being a techie or a data-warehouse guy, is that you can connect data sources, and do all kinds of pretty amazing things."
"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."
"We've worked with all the features of Domo. Among the most important are Pivot and Sumo Cards. We can use drill-down from the top-most level with a click, generating charts."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"The user interface is quite good."
"The dashboard is the most valuable feature and allows for customization to create and share reports."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"Databricks can improve by making the documentation better."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"Implementation of Databricks is still very code heavy."
"When you're exporting a graph out of Domo — suppose it is in the form of a donut chart or it is in form of a stack — the data comes out in tabular format, not as a graph. When exporting the data, I would like them to create a tab for graphs and another tab with the data in tabular format."
"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."
"I would like to publish a dashboard for the employees so that they can also see the performance of our organization. But that is not a feature in Domo, although it's something that Zoho provided."
"It's quite slow. We are using about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case."
"It is expensive."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"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 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."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Domo is ranked 11th in BI (Business Intelligence) Tools with 35 reviews. Databricks is rated 8.2, while Domo is rated 7.8. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Domo writes "Robust, powerful, and easy to use". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Domo is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Apache Superset. See our Databricks vs. Domo report.
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