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 most valuable feature of Databricks is the integration with Microsoft Azure."
"The solution offers a free community version."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The setup is quite easy."
"The simplicity of development is the most valuable feature."
"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."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"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 helps to catch results and review them."
"The most important feature of the solution is the ability to run Python-based scripts."
"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."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Would be helpful to have additional licensing options."
"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 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 think in terms of User Interface, I would say it can be better."
"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."
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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