We performed a comparison between Databricks and Mode Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"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."
"There are good features for turning off clusters."
"It's easy to increase performance as required."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The ability to stream data and the windowing feature are valuable."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
"The most valuable feature I would say is the flexibility in editing."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"The tool should improve its integration with other products."
"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."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"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 have seen better user interfaces, so that is something that can be improved."
"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."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"I would like it if Databricks made it easier to set up a project."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
"Mode Analytics needs to improve the overall user experience."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Mode Analytics is ranked 20th in BI (Business Intelligence) Tools with 4 reviews. Databricks is rated 8.2, while Mode Analytics 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 Mode Analytics writes "The solution is easy to learn to use and very informative". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Mode Analytics is most compared with Tableau, ThoughtSpot, Amazon QuickSight and Microsoft Power BI.
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