![Luca P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Luca P.")
LP

Luca P.

Chief Operations Officer DEQUA Studio | Formerly CTO in MarTech

Marketing and Advertising

Small-Business (50 or fewer emp.)

10/10/2025

"Solid BI Choice for AWS-First Teams"

4/5

What do you like best about Amazon QuickSight?

QuickSight’s integration with the AWS ecosystem is seamless. Connecting to S3, Redshift, or Athena happens in minutes without complex configuration or workarounds. The SPICE in-memory engine delivers fast query performance even with large datasets, which keeps dashboards responsive. I appreciate the natural language query feature (Amazon Q) that allows me to ask questions in plain English and get visual answers without writing SQL. It democratizes access to insights for non-technical stakeholders who need quick answers.

The platform’s embedded analytics capability is a standout feature. I can place dashboards directly into internal applications or customer portals without additional tools. This centralizes data consumption and eliminates the need to jump between platforms. QuickSight also offers built-in machine learning features like anomaly detection and forecasting, which provide advanced insights without requiring custom algorithms. When revenue spikes unexpectedly, the ML engine surfaces an explanation automatically.

The AutoGraph feature intelligently recommends chart types based on data field characteristics. This removes guesswork for team members who aren’t visualization experts and ensures consistency across reports. Security is robust with role-based access controls, single sign-on, and comprehensive auditing. QuickSight supports FedRAMP, HIPAA, PCI DSS, ISO, and SOC compliance, which covers most regulatory requirements. Review collected by and hosted on G2.com.

What do you dislike about Amazon QuickSight?

QuickSight lacks the visualization variety found in Power BI or Tableau. Gantt charts, candlestick charts, and comparative high-low charts are missing, which limits design flexibility for specific use cases.

The data model approach differs from traditional BI tools in a way that feels restrictive. Instead of building relationships between fact and dimension tables, I often need to create large denormalized datasets with repeated data. This makes data preparation more cumbersome and less efficient. Review collected by and hosted on G2.com.

What problems is Amazon QuickSight solving and how is that benefiting you?

QuickSight centralizes reporting across departments by connecting directly to AWS data sources and presenting KPIs in unified dashboards. This reduces manual reporting work and gives stakeholders near real-time access to performance metrics. For teams tracking cloud application costs and operational performance, QuickSight provides visibility without building custom tooling.

The serverless architecture removes infrastructure management entirely. I don’t need to plan capacity, provision servers, or worry about scaling. QuickSight adjusts automatically to data volume and user load, which saves engineering time and reduces operational complexity. The pay-per-session pricing model makes analytics accessible to teams with varying usage patterns. Occasional viewers don’t incur ongoing subscription costs, which makes budgeting simpler.

QuickSight’s compliance certifications (HIPAA, PCI DSS, FedRAMP, ISO, SOC) solve governance challenges for regulated industries. Teams in healthcare, finance, and government can adopt the platform without additional security layers. Role-based access and comprehensive auditing ensure data protection while enabling broad access. This balance between accessibility and security is hard to achieve with on-premises tools. Review collected by and hosted on G2.com.

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4.3 out of 5 · Verified reviews from real users

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