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."The technical support is good."
"I like cloud scalability and data access for any type of user."
"The setup was straightforward."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"Databricks has helped us have a good presence in data."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"The most important feature of the solution is the ability to run Python-based scripts."
"The most valuable feature I would say is the flexibility in editing."
"The tool helps to catch results and review them."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"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."
"There is room for improvement in the documentation of processes and how it works."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The product cannot be integrated with a popular coding IDE."
"Databricks' technical support takes a while to respond and could be improved."
"The integration of data could be a bit better."
"The Databricks cluster can be improved."
"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."
"The solution could run faster."
"Mode Analytics needs to improve the overall user experience."
"I think in terms of User Interface, I would say it can be better."
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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