We performed a comparison between Databricks and Dundas BI 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 load distribution capabilities are good, and you can perform data processing tasks very quickly."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"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."
"There are good features for turning off clusters."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"I work in the data science field and I found Databricks to be very useful."
"It can send out large data amounts."
"The solution is an impressive tool for data migration and integration."
"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."
"The solution has a good drag-and-drop feature for creating dashboards."
"With Dundas BI, you have a lot of visualization choices, and you can also do customizations by using HTML coding and JavaScript. The ease of development was one of the main factors for going for Dundas BI. The client had different reporting tools, but they wanted something that could accommodate all requirements."
"It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI."
"We have now the ability to create interactive and complex reports without the need for software developers and code."
"We use Dundas to report on machine sensor data and create dashboards."
"Databricks' technical support takes a while to respond and could be improved."
"Databricks could improve in some of its functionality."
"It would be great if Databricks could integrate all the cloud platforms."
"The tool should improve its integration with other products."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"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."
"I would love to see more functions built in inside the application, instead of being scripted. They already did some of that in the new release, version 5, like forecasting, trend lines, etc., and I would love to see more of these kinds of calculations, which we used to do it by scripts before."
"Lacks sufficient online support."
"For every object, references are generated, but sometimes, there was a problem with the references overlapping each other. Everything would go off. It would stop working, and then from the admin side, people had to do something to bring it up again."
"Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart."
"I cannot select a visualization and see what filters are connected to it."
"It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Dundas BI is ranked 21st in Data Visualization with 21 reviews. Databricks is rated 8.2, while Dundas BI is rated 8.6. 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 Dundas BI writes "Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Dundas BI is most compared with Microsoft Power BI, Tableau, Logi Analytics, Angles Professional and Salient. See our Databricks vs. Dundas BI report.
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