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."
"The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"The solution is simple to implement."
"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 ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards."
"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 most valuable feature of this solution is the user interface."
"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 solution is very simple and stable."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"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."
"It's very simple to use Databricks Apache Spark."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The solution is an impressive tool for data migration and integration."
"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."
"Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production."
"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."
"It's not ideal for reports that are more complex."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"There should be better connectors for different data sets."
"The number of features in the product is limited in comparison with the other tools in the market, like Power BI."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"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."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"I believe that this product could be improved by becoming more user-friendly."
"Doesn't provide a lot of credits or trial options."
"There should be better integration with other platforms."
"The solution has some scalability and integration limitations when consolidating legacy systems."
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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