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."It is fast, it's scalable, and it does the job it needs to do."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The solution is very simple and stable."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"There are good features for turning off clusters."
"The setup is quite easy."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"Its lightweight and fast processing are valuable."
"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 dashboard is the most valuable feature and allows for customization to create and share reports."
"We find the ease of using the solution valuable."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"The data certification feature, where the admin user can put a certified stamp on a data source so that other users can know that that is the correct and accurate data flow or data source to use, is a good feature."
"The best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."
"The solution is highly stable."
"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..."
"We'd like a more visual dashboard for analysis It needs better UI."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"The initial setup is difficult."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"It would be great if Databricks could integrate all the cloud platforms."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"A lot of people are required to manage this solution."
"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."
"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."
"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."
"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."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"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."
"It is expensive."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Domo is ranked 10th 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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Domo is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Qlik Sense. See our Databricks vs. Domo report.
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