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."Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"We have the ability to scale, collaborate and do machine learning."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Automation with Databricks is very easy when using the API."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The ease of use and its accessibility are valuable."
"We find the ease of using the solution 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 user interface is quite good."
"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."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"The ease of use, overall, is one of the valuable features, as is the ease of setup. Other than making sure IT was aware of, and agreed with our proceeding, we did not need IT for any of the setup. The ease of setup is more valuable than you might think. The ease of configuring the security policies, setting up groups, and setting up personalized data permissions so that only certain people can see certain data — that stuff is amazing... Domo really is extraordinarily full-featured, but it's really easy to use."
"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..."
"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."
"Databricks could improve in some of its functionality."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"I believe that this product could be improved by becoming more user-friendly."
"There is room for improvement in the documentation of processes and how it works."
"Implementation of Databricks is still very code heavy."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"I would like to see better data intake."
"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."
"They should include service-based reporting features."
"There's a learning curve before you can get used to the solution."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"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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