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Amazon Quick Releases Preview of Agentic Catalog Experience for Data Curators

Amazon Quick has launched the Agentic Catalog Experience in preview, giving data curators an AI workflow to discover assets using natural language and auto-create Datasets and Topics.

(KI-generiertes Symbolbild: Gemini / AI Connect)

Amazon Quick has introduced a new feature known as the Agentic Catalog Experience. This feature provides an AI-powered workflow specifically built for data curators. Curators can utilize the system to discover upstream catalog assets by using natural language queries.

In addition to asset discovery, the system can auto-create Datasets and Topics while preserving inherited semantics. The feature is currently available to users as a preview release. Supported platforms for this preview include the AWS Glue Data Catalog and Databricks Unity Catalog.

What this means for you

Data teams using AWS Glue Data Catalog or Databricks Unity Catalog can now test natural language asset discovery in preview. The automated creation of Datasets and Topics with inherited semantics reduces manual setup steps for curators. Organizations evaluating these platforms can test how inherited semantics integrate with their existing metadata management.

Evidence

Solidly sourced
46/100

  • Amazon Quick introduced the Agentic Catalog Experience as an AI-powered workflow for data curators.

    single source
    Quote

    „Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators“

    AWS, Machine Learning

  • The workflow lets curators search upstream catalog assets in natural language and automatically generate Datasets and Topics with inherited semantics.

    single source
    Quote

    „discover upstream catalog assets in natural language and auto-create Datasets and Topics with inherited semantics.“

    AWS, Machine Learning

  • The Agentic Catalog Experience is currently available in preview for AWS Glue Data Catalog and Databricks Unity Catalog.

    single source
    Quote

    „Now in preview for AWS Glue Data Catalog and Databricks Unity Catalog.“

    AWS, Machine Learning

Sources

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: July 31, 2026

AI-assistedAI-assisted, editorially reviewed

Sources
1
Verified statements
0 / 3
Evidence score
46Solidly sourced
AI AgentsUse Cases

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