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 query and dashboard capabilities are entirely good."
"The solution's most valuable feature is its flexibility to visualize certain logs."
"It has a lot of valuable features, but the most important aspect is the affordable cost. This solution costs much less in comparison to the competitors like Qlik Sense, Power BI, and Tableau."
"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 simple to implement."
"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."
"The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services."
"It's very simple to use Databricks Apache Spark."
"Databricks' most valuable feature is the data transformation through PySpark."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Databricks integrates well with other solutions."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The time travel feature is the solution's most valuable aspect."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."
"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."
"One area where Amazon QuickSight could improve is its formatting features for dashboards."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"I just want a few more features to be added."
"The product has some storage and SPICE data issues."
"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."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Implementation of Databricks is still very code heavy."
"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."
"It's not easy to use, and they need a better UI."
"Databricks can improve by making the documentation better."
"Costs can quickly add up if you don't plan for it."
"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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
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.
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.