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."One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"We have the ability to scale, collaborate and do machine learning."
"Databricks integrates well with other solutions."
"The time travel feature is the solution's most valuable aspect."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The integration with Python and the notebooks really helps."
"The solution is very easy to use."
"The simplicity of development is the most valuable feature."
"We find the ease of using the solution valuable."
"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."
"Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want."
"The user interface is quite good."
"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."
"In general, Domo is very powerful and very easy to use, relatively speaking."
"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 thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."
"In the next release, I would like to see more optimization features."
"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."
"The pricing of Databricks could be cheaper."
"I have seen better user interfaces, so that is something that can be improved."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Databricks can improve by making the documentation better."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"It is expensive."
"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 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."
"I would like to see more dashboard creation options."
"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."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."
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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