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AWS lake-formation documentation change

Service: lake-formation · 2026-02-25 · Documentation low

File: lake-formation/latest/dg/what-is-lake-formation.md

Summary

Updated service reference from 'Amazon Quick Suite' to 'Amazon Quick' in the list of analytics services supporting Lake Formation permissions.

Security assessment

This is a cosmetic branding change only. The security model of Lake Formation remains unchanged, and no security features or vulnerabilities are addressed in this update.

Diff

diff --git a/lake-formation/latest/dg/what-is-lake-formation.md b/lake-formation/latest/dg/what-is-lake-formation.md
index 464096939..a95e61e80 100644
--- a//lake-formation/latest/dg/what-is-lake-formation.md
+++ b//lake-formation/latest/dg/what-is-lake-formation.md
@@ -13 +13 @@ AWS Lake Formation helps you centrally govern, secure, and globally share data f
-Lake Formation provides its own permissions model that augments the IAM permissions model. Lake Formation permissions model enables fine-grained access to data stored in data lakes as well as external data sources such as Amazon Redshift data warehouses, Amazon DynamoDB databases, and third-party data sources through a simple grant or revoke mechanism, much like a relational database management system (RDBMS). Lake Formation permissions are enforced using granular controls at the column, row, and cell-levels across AWS analytics and machine learning services, including Amazon Athena, Amazon Quick Suite, Amazon Redshift Spectrum, Amazon EMR, and AWS Glue. 
+Lake Formation provides its own permissions model that augments the IAM permissions model. Lake Formation permissions model enables fine-grained access to data stored in data lakes as well as external data sources such as Amazon Redshift data warehouses, Amazon DynamoDB databases, and third-party data sources through a simple grant or revoke mechanism, much like a relational database management system (RDBMS). Lake Formation permissions are enforced using granular controls at the column, row, and cell-levels across AWS analytics and machine learning services, including Amazon Athena, Amazon Quick, Amazon Redshift Spectrum, Amazon EMR, and AWS Glue.