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 most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"The product is easy to learn."
"The solution is very quick to turn around and integrate."
"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."
"The query and dashboard capabilities are entirely good."
"The graph charts, pie charts, and box plots are valuable."
"Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. It is easier to use, more stable, and cheaper than other solutions."
"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."
"Databricks helps crunch petabytes of data in a very short period of time."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"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 built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"We have the ability to scale, collaborate and do machine learning."
"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."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"I would like to see a feature that allows us to save a draft version before making it public and publishing it."
"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."
"Lacked connectivity with other third-party tools and data sources."
"The solution must be more user-friendly."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"The product has some storage and SPICE data issues."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"One area where Amazon QuickSight could improve is its formatting features for dashboards."
"There is room for improvement in visualization."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"Databricks could improve in some of its functionality."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"We'd like a more visual dashboard for analysis It needs better UI."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"There is room for improvement in the documentation of processes and how it works."
"In the next release, I would like to see more optimization features."
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, Microsoft Azure Machine Learning Studio and Dremio.
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