QuickSight’s in-memory engine SPICE can handle millions of rows with sub-second performance.

People like this the most because dashboards stay fast even with heavy data. Everything auto-scales automatically. Review collected by and hosted on G2.com.

fewer visualization types

fewer formatting options

imited control over fine-grained design

AWS updates QuickSight, but not as rapidly as competitors.

Some missing features take years to arrive. Review collected by and hosted on G2.com.

I like how easy it is to build and share dashboards without heavy setup, and the way it handles large datasets smoothly with SPICE makes analysis feel fast and lightweight. Review collected by and hosted on G2.com.

Some customisations feel limited compared to tools like Power BI, and the interface can be a bit unintuitive when trying to create more advanced visuals. Review collected by and hosted on G2.com.

I really appreciate the power of Amazon QuickSight's dashboards and visualizations. They are excellent and significantly better, which helps me communicate more effectively with my team. The clarity of the visualizations and the availability of various styles make it easier to break down complex information, especially for non-technical staff. I find the capability to make graphs through different definition variables very helpful. Review collected by and hosted on G2.com.

I'm not particularly thrilled with anything beyond the dashboard and visualization features of Amazon QuickSight. There seems to be an overall clutter in the design, which I think could be made more seamless to improve the user experience. Review collected by and hosted on G2.com.

I found QuickSight very useful for quickly accessing dashboards and extracting data without needing complex setup. The dashboards were straightforward to navigate, and having everything centralised saved a lot of time compared to handling raw data manually. Review collected by and hosted on G2.com.

While it’s good for viewing dashboards, I felt limited when it came to deeper customisation or more advanced analysis. The interface can sometimes feel less intuitive, especially if you want to go beyond basic data extraction. Review collected by and hosted on G2.com.

The visualizations are clean and visually appealing. I also appreciate how easy it is to add them to dashboards and share insights with the team in a collaborative way. Review collected by and hosted on G2.com.

The platform isn’t very user-friendly, especially for new users. It takes quite a bit of time to understand how to build visualizations effectively, and the querying process can be a bit unintuitive. Review collected by and hosted on G2.com.

I appreciate how Amazon QuickSight seamlessly integrates with our existing AWS infrastructure, making data accessible and enabling self-service analytics across the organization. The interactive dashboards, live data refreshes, and the ease of sharing access through secure URLs simplify data management. QuickSight's simplicity in setup and ongoing maintenance without the need for BI servers is remarkable, making it an ideal choice for an AWS-centric company. Additionally, the regular feature updates, like natural language queries, further enhance its value, ensuring it remains a robust, scalable, and secure BI tool for our needs. Review collected by and hosted on G2.com.

I found the initial setup and learning curve with Amazon QuickSight challenging, especially in terms of mastering best practices to optimize performance and create user-friendly dashboards. Additionally, managing live queries directly against Redshift initially posed some technical challenges. However, once we navigated these hurdles, the process became much smoother. Review collected by and hosted on G2.com.

What I like best about Amazon QuickSight is how seamlessly it integrates with other AWS services. It makes pulling data from S3, Redshift, or Athena really smooth, and the SPICE engine speeds up dashboard performance noticeably. It's also easy to share interactive reports without heavy setup, which is great for collaboration. Review collected by and hosted on G2.com.

While Amazon QuickSight is powerful within the AWS ecosystem, there are a few areas where it could improve. The ease of use isn't as intuitive as other BI tools—custom visuals and formatting can be a bit rigid. Implementation is straightforward if you're already using AWS, but not as beginner-friendly for those outside that environment. I’ve found customer support to be decent but not always quick with technical queries. I use QuickSight a few times a week, and while it gets the job done, I sometimes miss the flexibility and polish of tools like Power BI or Tableau. Review collected by and hosted on G2.com.

I like how easy it is to connect QuickSight with other AWS services. It saves a lot of time when pulling data together, and the dashboards are pretty fast and interactive once you get them set up. The pay-per-session pricing is also a big plus because it keeps costs down compared to other BI tools I’ve used. Review collected by and hosted on G2.com.

The tool isn’t always the most user-friendly. Sometimes it takes a while to figure out how to do simple things, and the customization options for charts and visuals feel limited. For more complex data, I often need to prepare it outside of QuickSight first, which can be frustrating. The documentation could also be better—it doesn’t always explain advanced features in a clear way. Review collected by and hosted on G2.com.

I appreciate the integration with AWS services. The scalability and performance when it comes to sharing and embedding are impressive. I also find the ML and NLP features, as well as the cost models, to be really good. Review collected by and hosted on G2.com.

The customisation options are quite limited, and there is a steep learning curve when it comes to using the more advanced features. Additionally, the performance with very large data sets does not meet expectations. The product also feels heavily AWS-centric. Review collected by and hosted on G2.com.

It makes it easy to connect directly with AWS data sources like S3, Redshift, and Athena, which saves a lot of time compared to traditional BI setups. I also like the speed and scalability—it handles large datasets smoothly and offers pay-per-session pricing, which is cost-efficient. The ML insights feature is particularly useful for quick trend spotting without having to build complex models. Review collected by and hosted on G2.com.

The user interface feels less intuitive compared to competitors like Power BI or Tableau. Customization of visuals can sometimes be limited, and creating complex calculated fields or advanced dashboards requires a learning curve. Documentation is decent but could go deeper in certain areas, especially for more advanced use cases. Review collected by and hosted on G2.com.