Live Data in Apps
A real-time data feature in Amazon QuickSight that enables AI-built applications to query governed datasets directly at runtime. Queries execute under the identity of the current viewer, enforcing row-level and column-level security policies dynamically, replacing the traditional static data snapshot model.
Timeline (last 90 days)
Amazon Q introduced the Live Data in Apps feature, enabling AI-built applications to query governed datasets in QuickSight in real time.
The core change in Live Data in Apps is that applications query datasets in real time rather than reading a fixed historical slice, so users see current, actual data every time they open or refresh the application.
In Live Data in Apps, every query is executed under the identity of the person currently viewing the application, rather than being uniformly executed under the identity of the application creator.
Row-Level Security (RLS) and Column-Level Security (CLS) take effect separately for each reader, with governance rules defined uniformly at the data layer and automatically inherited by applications.
Live Data in Apps addresses two pain points of AI-built applications: data freshness and permission isolation.
Details such as the performance and cost impact of real-time queries on the underlying dataset, the latency of executing security policies per reader under high concurrency, and the complexity boundaries of building applications with natural language remain to be verified through actual use.
For teams that already use QuickSight and have accumulated data governance rules, the migration cost of this feature is relatively low.
All Facts (7)
Row-Level Security (RLS) and Column-Level Security (CLS) take effect separately for each reader, with governance rules defined uniformly at the data layer and automatically inherited by applications.
50%UnverifiedThe core change in Live Data in Apps is that applications query datasets in real time rather than reading a fixed historical slice, so users see current, actual data every time they open or refresh the application.
50%UnverifiedIn Live Data in Apps, every query is executed under the identity of the person currently viewing the application, rather than being uniformly executed under the identity of the application creator.
50%UnverifiedFor teams that already use QuickSight and have accumulated data governance rules, the migration cost of this feature is relatively low.
50%UnverifiedLive Data in Apps addresses two pain points of AI-built applications: data freshness and permission isolation.
50%UnverifiedDetails such as the performance and cost impact of real-time queries on the underlying dataset, the latency of executing security policies per reader under high concurrency, and the complexity boundaries of building applications with natural language remain to be verified through actual use.
50%UnverifiedAmazon Q introduced the Live Data in Apps feature, enabling AI-built applications to query governed datasets in QuickSight in real time.
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