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."From an analytics perspective, it's really good for self-service analytics."
"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 product is easy to learn."
"It helped the managers to visualize the data activities."
"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."
"The most valuable feature I have found is the low-level securities are very easy to use."
"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."
"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."
"The integration with Python and the notebooks really helps."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"It is a cost-effective solution."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"We can scale the product."
"Ability to work collaboratively without having to worry about the infrastructure."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"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."
"They could provide more options for graphics and other features."
"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."
"It should support integration with Python or R."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"Lacked connectivity with other third-party tools and data sources."
"It's not ideal for reports that are more complex."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Databricks could improve in some of its functionality."
"The initial setup is difficult."
"There are no direct connectors — they are very limited."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
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.
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.