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."It is fine for basic reporting."
"The solution is simple to implement."
"The graph charts, pie charts, and box plots are valuable."
"The most valuable feature of this solution is the user interface."
"The solution is very quick to turn around and integrate."
"It helped the managers to visualize the data activities."
"One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created."
"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 solution is easy to use and has a quick start-up time due to being on the cloud."
"The main features of the solution are efficiency."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The fast data loading process and data storage capabilities are great."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"Databricks helps crunch petabytes of data in a very short period of time."
"It is fast, it's scalable, and it does the job it needs to do."
"Lacked connectivity with other third-party tools and data sources."
"I just want a few more features to be added."
"It's not ideal for reports that are more complex."
"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."
"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."
"There should be better connectors for different data sets."
"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product. What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service."
"It should support integration with Python or R."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"I believe that this product could be improved by becoming more user-friendly."
"There is room for improvement in the documentation of processes and how it works."
"There should be better integration with other platforms."
"The integration of data could be a bit better."
"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."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
Amazon QuickSight is ranked 5th in BI (Business Intelligence) Tools with 23 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Amazon QuickSight is rated 7.0, 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.
We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.