Amazon QuickSight Reviews

Name: Amazon QuickSight
Brand: Amazon Web Services (AWS)
Rating: 3.6 (29 reviews)

3.6 out of 5

29 reviews
63% willing to recommend

616 followers

What is Amazon QuickSight?

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.

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Amazon QuickSight is the #3 ranked solution in top Business Intelligence Tools. PeerSpot users give Amazon QuickSight an average rating of 7.2 out of 10. Amazon QuickSight is most commonly compared to Microsoft Power BI: Amazon QuickSight vs Microsoft Power BI. Amazon QuickSight is popular among the large enterprise segment, accounting for 65% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.

Helped 839,319 peers since 2012

Featured Amazon QuickSight reviews

Mohd Farhan

AWS Cloud Solution Developer | DevOps | SpringBoot | Android/iOS at a computer software company with 201-500 employees

One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need for enhancement in data visualization speed. Additionally, the role-level security is challenging to implement, and it could be improved to allow access control per department more easily.

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Anoop Jose

Senior Manager - Architecture and engineering excellence at a healthcare company with 201-500 employees

Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs. Drill-downs were the main area where we found QuickSight lacking. Especially for root cause analysis, the ability to drill down from a high-level problem to its root is crucial. Aside from that, QuickSight is a good service.

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Nerissa Serrano

Sr. Business Intelligence Analyst at ClearSource Bpo

Yes, before using Amazon QuickSight, I worked with other products, including Power BI and Tableau. We switched to Amazon QuickSight since it was more affordable. Compared to Amazon QuickSight, Power BI offers a broader range of visualization options and more flexible formatting capabilities. Power BI provides more visual choices, easier page formatting with specific control options, and the ability to use bookmarks to enhance the dashboard's appeal. One area where Amazon QuickSight could improve is its formatting features for dashboards. For small-scale businesses, Amazon QuickSight is cost-effective. However, for larger datasets, tools like Power BI and Tableau may be more efficient, even if they require additional AWS services. QuickSight's pay-per-view model is suitable for smaller data, but your choice depends on your data size and requirements.

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Amazon QuickSight mindshare

As of March 2025, the mindshare of Amazon QuickSight in the BI (Business Intelligence) Tools category stands at 7.1%, down from 11.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

PeerAnalyst reports based on Amazon QuickSight reviews

Type	Title	Date
Category	BI (Business Intelligence) Tools	Mar 3, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 3, 2025	Download
Comparison	Amazon QuickSight vs Microsoft Power BI	Mar 3, 2025	Download
Comparison	Amazon QuickSight vs Tableau	Mar 3, 2025	Download
Comparison	Amazon QuickSight vs Oracle OBIEE	Mar 3, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Power BI	4.0	21.8%	93%	319 interviews Add to research
Tableau	4.2	18.3%	89%	295 interviews Add to research

Valuable Features

Amazon QuickSight's key features include an intuitive user interface, seamless integration with AWS services, cost-effectiveness, efficient self-service analytics, and fast visualization creation. Users value its cloud-native, browser-based operation, and powerful data processing capabilities like the Spice engine. Its flexibility in connecting data sources, its robust security features, natural language querying with Amazon Q, and comprehensive documentation enhance its appeal for data analysis and visualization tasks, especially for AWS users.

"Efficiency has definitely improved, and the speed of developing analytics and insights has increased by at least twenty percent."
"The best part about Amazon QuickSight is the filtration capability."
"QuickSight makes it easy to provision, create, and publish dashboards."

Room for Improvement

Amazon QuickSight requires improvement in integration with third-party tools, enhanced visualization options, and better data story capabilities. Users find its setup process complex and its features limited compared to competitors. The cost of usage can be high, and data refresh rates aren't suitable for dynamic needs. Customization lacks, affecting user experience. Enhanced support, broader availability, and more connectivity with various data sources are needed. Users also desire easier-to-use natural language processing and improved data processing capabilities.

"The setup process falls somewhere in the middle. It is not straightforward, nor is it complex, but there is a significant amount of work needed on the back end to make it function."
"One area for improvement is the cost, as it's a bit expensive."
"QuickSight needs to add more visuals similar to what Power BI offers."

ROI

Amazon QuickSight delivers significant ROI due to its cost-effectiveness compared to solutions like Tableau. Companies using it efficiently benefit from high returns, despite varying experience among users. Some report no visible returns yet, while others notice at least 30% time savings. Its competitive pricing, security, and single sign-on functionality offer substantial financial advantages. Users feel reassured investing in it, recovering costs without concerns about profitability, although returns may vary depending on usage efficiency.

Pricing

Amazon QuickSight offers a varied pricing model appreciated for its flexibility and cost-effectiveness, particularly for those integrated with AWS. Users benefit from low subscription costs, with fixed charges for authors and pay-per-session fees for readers. While competitive with other BI tools, some find it expensive due to additional costs for AWS services and setup considerations. Prices may vary based on usage, and substantial savings can be realized through careful configuration and corporate discounts.

"Amazon QuickSight charges $250 per user, which becomes expensive when managing multiple departments."
"It's affordable compared to other long-term contractor business tools available in the market."
"The product pricing is better than other vendors."

Popular Use Cases

Users employ Amazon QuickSight for generating dashboards, visualizations, and reports, leveraging its capabilities for business intelligence and data analytics across sectors like finance, technology, and consulting. It assists in creating insights and summaries from extensive datasets, performing real-time and historical analysis, and integrating with AWS services such as S3 and Athena. QuickSight is also used for internal reporting, customer usage analysis, and developing user-friendly interfaces.

Service and Support

Amazon QuickSight's customer service receives mixed feedback. Some users find the technical support responsive and helpful, giving high ratings and praising prompt solutions. Others note average or inconsistent experiences, with occasional difficulties in problem resolution. Several users rely on comprehensive documentation and forums rather than direct contact with support. Some users never needed assistance, managing via manuals and guides. A few express satisfaction with support from local or partner contacts instead of direct Amazon engagement.

Deployment

Some users found Amazon QuickSight's initial setup straightforward due to its cloud-based nature and documentation. Others faced challenges with multi-tier architectures and integration complexity, particularly when lacking experienced developers. It can be set up quickly, in hours, and does not require installation. Some noted ease of use with AWS environments, while others rated it less simple compared to alternative tools. Scalability and quick deployment on AWS were frequently mentioned benefits.

Scalability

Organizations find Amazon QuickSight to be scalable, particularly for large datasets and various user capacities. However, some experience issues with performance when handling extensive data volumes, such as terabytes. Many businesses utilize QuickSight effectively, even though a few question its reliability for massive implementations. Scalability ratings vary, with some rating it highly and others moderately. Users report varying levels of user adoption and future plans, but generally acknowledge its scalability potential based on AWS capabilities.

Stability

Amazon QuickSight is generally described as stable and reliable. Many users report minimal issues, with no significant crashes or glitches. AWS native integration ensures data reconciliation, enhancing stability. Ratings vary, with some giving high scores and others noting areas for improvement compared to competitors. A few mention encountering technical issues, yet QuickSight is widely used across various organizations, with positive feedback on its performance and responsiveness.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon QuickSight Buyer's Guide for additional reliable information.