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Amazon Quick introduces Live Data in Apps for live queries over Amazon Quick Sight datasets

clearly official source

The Live Data in Apps feature allows Amazon Quick applications to query Amazon Quick Sight datasets every time they are opened. According to AWS, the queries are executed with the user's permissions and respect row-level and column-level access restrictions.

AWS has introduced the Live Data in Apps feature for applications created using AI in the Amazon Quick service. Applications can query managed Amazon Quick Sight datasets, including SPICE tables and Direct Query, every time they are opened. Previously, they displayed values captured at the time the application was created.

According to AWS, the user describes the desired application in natural language, and an AI agent finds suitable datasets and creates SQL. The published application then re-runs the same SQL every time it is opened. The query is executed with the permissions of the user who opens the application; the existing row-level and column-level security rules, referred to as RLS and CLS, apply.

At least the Reader Pro (Professional) role is required to both create and use the application. On first access, the user grants consent for the application to access the datasets; according to AWS, this consent is checked on the server with every query. The published application can be shared with users or groups of the Amazon Quick service. See the source article for details.

What changed

Why it matters

When opening the application, an employee can get an answer from the current contents of the dataset without writing SQL. For teams that regularly prepare the same reports, the feature makes it possible to replace recurring manual queries and exports with a shared application, while according to AWS maintaining existing data access restrictions.

Two audiences, two different impacts

What this means

01

For individuals

When you open the application, you get values from the dataset available according to your permissions, instead of data captured at the time it was created. This means you don't have to write SQL yourself for recurring questions.

What to do Before granting consent when first opening the application, check which datasets it is requesting access to.
More practical updates →
02

For a business

Recurring corporate reporting can be converted from manual queries, exports, and chart sharing into a single published application. According to AWS, the existing RLS and CLS rules remain in effect.

Processes
What to decide Before sharing the application, verify on accounts with different permissions that the results match the configured RLS and CLS rules.
More business impacts →
Amazon Quick Amazon Quick Sight Live Data in Apps Quick Apps SQL

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Event sources

clearly official source · 1 publisher, 0 independent. We count feeds from the same owner only once.

1
AWS Machine Learning Blog primary source · first detected Serve live, governed data in AI-built apps with Amazon Quick