Amazon Quick adds Live Data in Apps for real-time governed datasets

Previously, Amazon Quick apps could pull live data from connectors and content sources, but governed Quick Sight datasets—the SPICE and Direct Query tables holding business metrics—were baked in as static snapshots when the app was built. That worked for fixed reports but not for apps that needed to reflect current data and respect viewer permissions. Live Data in Apps fills that gap by letting the AI agent discover relevant datasets, write SQL during the build, and then re-run that SQL every time the app is opened, executing as the viewer so row-level and column-level security apply automatically.

The use case described involves a sales leader who needs to combine enterprise content and revenue data to review deal renewals. With Live Data in Apps, they can build and share an app without waiting for IT, and the app handles per-user consent and security server-side. This shifts data access control entirely to the Quick Sight query engine, so the app and frontend never decide who sees what.

How broadly this gets adopted may hinge on the guardrails: Direct Query datasets from different sources cannot be combined in one app, and builders face an initial row limit that requires paginated calls. Whether these constraints slow down complex, cross-source apps—or are simply manageable—will likely determine how quickly teams move beyond simple renewals dashboards to more ambitious workflows.