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 makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks integrates well with other solutions."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The time travel feature is the solution's most valuable aspect."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"It's great technology."
"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 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..."
"The solution is highly stable."
"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."
"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."
"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."
"We have found securing data valuable because it allows us to provide information without identifying individuals."
"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."
"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."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"I believe that this product could be improved by becoming more user-friendly."
"It would be great if Databricks could integrate all the cloud platforms."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"One of the improvements that could be made is related to improved storage options."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"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 like to see more dashboard creation options."
"I would like to see better data intake."
"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."
"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."
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.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
