TopN Analytics
Technology

QuickSight

AWS's serverless BI service, a natural default for dashboards and embedded analytics on teams already running on AWS.

Our Experience

How we typically use it

We use QuickSight when a client is already AWS-native and wants dashboards or embedded analytics without standing up separate BI infrastructure — it connects directly to Redshift, S3, and most common databases, and scales without capacity planning since it's pay-per-session rather than per-server.

Implementation Patterns

Where it fits

  • Executive and operational dashboards fed directly from Redshift or S3
  • Embedded analytics inside internal tools or customer-facing applications
  • Natural-language querying for ad hoc business questions
FAQs

Common questions

How is QuickSight different from Tableau or Power BI?
It's serverless and priced per session rather than per named user or server, and it integrates most tightly with AWS data sources — a strong fit if your stack is already AWS-based.
Can we embed QuickSight dashboards in our own product?
Yes, embedded analytics is one of its core use cases; we can wire dashboards directly into an internal tool or customer-facing application.

Building something with QuickSight?