We performed a comparison between Amazon QuickSight and Databricks based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools."The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."
"A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight. Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well."
"Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."
"Amazon QuickSight has introduced a new functionality called Q bar, which allows the user to do natural language queries and get additional insights using some built-in generative capabilities."
"The most valuable feature of this solution is the user interface."
"From an analytics perspective, it's really good for self-service analytics."
"Easily able to connect with our other services and easy to manage."
"The most valuable feature I have found is the low-level securities are very easy to use."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"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."
"Databricks helps crunch petabytes of data in a very short period of time."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Databricks integrates well with other solutions."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly."
"They could provide more options for graphics and other features."
"It should support integration with Python or R."
"It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this. As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes."
"I just want a few more features to be added."
"I would like to see a feature that allows us to save a draft version before making it public and publishing it."
"There should be better connectors for different data sets."
"Amazon QuickSight's visualization could be improved."
"The integration and query capabilities can be improved."
"The product cannot be integrated with a popular coding IDE."
"The pricing of Databricks could be cheaper."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Databricks could improve in some of its functionality."
"The product should provide more advanced features in future releases."
"The Databricks cluster can be improved."
"There is room for improvement in the documentation of processes and how it works."
Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Amazon QuickSight is rated 6.8, while Databricks is rated 8.2. The top reviewer of Amazon QuickSight writes "Useful for developing dashboards for various lines of business". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Amazon QuickSight is most compared with Microsoft Power BI, Tableau, Looker, Google Data Studio and SAP Analytics Cloud, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio.
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