Amazon Quick Reviews & Product Details

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.

One of the thinks that I truly love about Amazon Quicksight is the ability to connect different services together so that you can have visibility on all your services in one place. A dashboard Review collected by and hosted on G2.com.

One of the things that I have been struggling with is that I am sometimes limited on the visualization choices, compared to other Visualization tools. Review collected by and hosted on G2.com.

I love the features Amazon Q, help me convey and understand it in a much better way. The second feature I like is QuickSight dashboards also. Review collected by and hosted on G2.com.

It's not for small groups to use; it needs to have a large number of products that I feel cannot be used on a small scale. This needs to be improved, and once any customer adds, arrange a one-to-one call to explain all the features to the user. Review collected by and hosted on G2.com.

QuickSight’s strongest asset is its seamless integration with AWS infrastructure. The ability to ingest data directly from services like Redshift, Athena, and S3 with minimal setup is a major advantage for cloud-native teams. The SPICE engine significantly improves query performance and dashboard responsiveness, especially for large datasets. Embedding dashboards into web applications is straightforward via the API, and the pay-per-session pricing model is cost-effective for scalable deployments. Review collected by and hosted on G2.com.

The platform’s limitations become apparent when attempting advanced customization. Visualization options are rigid, and formatting controls are minimal compared to tools like Tableau or Power BI. The calculated field editor lacks robust debugging tools, and complex logic often requires workarounds. Documentation is sparse for non-standard use cases, and support channels are slow to respond with actionable guidance. Additionally, version control and collaborative development features are missing, which can hinder enterprise-level BI workflows. Review collected by and hosted on G2.com.

I appreciate Amazon QuickSight’s embedded analytics in customer-facing apps, making it really useful for my business. The interactive dashboard and chart features for reporting directly into apps or websites are outstanding, enhancing data visualization for external users. I find the machine learning insights extremely valuable, as they automatically detect outliers and forecast trends, perfectly aligning with my work needs. Additionally, the pay-per-session pricing is cost-effective, because I pay only when users view the dashboards. Review collected by and hosted on G2.com.

I would prefer Amazon QuickSight to offer a free version, rather than just the paid option. Review collected by and hosted on G2.com.

I appreciate how QuickSight integrates seamlessly with other AWS services, which makes pulling in large datasets relatively smooth once everything is set up. The pricing structure is also attractive compared to some of the bigger BI tools — I don’t feel like I’m paying for endless features I won’t use. It’s lightweight, fast to load dashboards, and I like that I can share reports across teams without needing to create overly complicated user accounts. Review collected by and hosted on G2.com.

Where QuickSight falls short for me is in the usability and polish of its interface. Some of the workflows feel clunky — creating calculated fields or drilling down into visuals isn’t nearly as intuitive as in Tableau or Power BI. Styling and formatting options are quite limited and can make dashboards look generic or “unfinished.” I also find that the documentation doesn’t always go deep enough, so when I hit a snag, I’m left piecing things together through trial and error. Lastly, managing permissions can be unexpectedly fiddly, especially for non-technical colleagues. Review collected by and hosted on G2.com.

I really appreciate how seamlessly Quick Sight integrates with other AWS services, making data access and analysis very straightforward. The interactive dashboards are easy to use, and the ML-powered insights help uncover trends quickly, which is great for decision-making. Review collected by and hosted on G2.com.

The user interface can feel a bit clunky at times, and there are limited customization options for visualizations compared to some other BI tools. It can take a little effort to create exactly the dashboard you want. Review collected by and hosted on G2.com.

What I like most about Amazon QuickSight is how easily it connects with other AWS services and lets me build interactive, shareable dashboards without a lot of hassle. It makes working with data feel simple and fast. Review collected by and hosted on G2.com.

What I dislike about Amazon QuickSight is that customizing visuals can be limited—for example, there aren't as many chart options or formatting controls as in tools like Power BI or Tableau. Also, the interface for creating calculated fields and parameters can be confusing, especially when dealing with more complex logic. Review collected by and hosted on G2.com.

This tool streamlines analytics by offering built-in machine learning insights, effortless dashboard sharing, and seamless integration with S3, Redshift, and RDS. The setup process is especially straightforward for organisations that primarily use AWS. Review collected by and hosted on G2.com.

Exporting and formatting reports feels limited, and the platform's support for data sources outside of AWS is not as fully developed. Additionally, the pricing structure can get complicated as team size increases. Review collected by and hosted on G2.com.