CTTY commented on code in PR #15222:
URL: https://github.com/apache/iceberg/pull/15222#discussion_r2757197910


##########
site/docs/vendors.md:
##########
@@ -24,7 +24,7 @@ This page contains some of the vendors who are shipping and 
supporting Apache Ic
 
 ### [Amazon Web Services (AWS)](https://aws.com)
 
-AWS provides a [comprehensive suite of 
services](https://aws.amazon.com/what-is/apache-iceberg/#seo-faq-pairs#what-aws-services-support-iceberg)
 to support Apache Iceberg as part of its modern data architecture. [Amazon 
Athena](https://aws.amazon.com/athena/) offers a serverless, interactive query 
engine with native support for Iceberg, enabling fast and cost-efficient 
querying of large-scale datasets. [Amazon EMR](https://aws.amazon.com/emr/) 
integrates Iceberg with Apache Spark, Apache Flink, Apache Hive, Presto and 
Trino, making it easy to process and analyze data at scale. [AWS 
Glue](https://aws.amazon.com/glue/) provides fully managed data integration 
capabilities, including schema evolution, maintenance, optimizations and 
partition management for Iceberg tables. With [Amazon 
S3](https://aws.amazon.com/s3/) as the underlying storage layer, AWS enables a 
high-performance and cost-effective data lakehouse solution powered by Iceberg.
+AWS provides a [comprehensive suite of 
services](https://aws.amazon.com/what-is/apache-iceberg/#seo-faq-pairs#what-aws-services-support-iceberg)
 to support Apache Iceberg as part of its modern data architecture. [Amazon 
S3](https://aws.amazon.com/s3/) offers virtually unlimited, highly durable 
storage for data lakes, while [Amazon S3 
Tables](https://aws.amazon.com/s3/features/tables/) deliver fully managed 
Iceberg tables with automated maintenance, optimization, and cost management. 
[Amazon Athena](https://aws.amazon.com/athena/) offers a serverless, 
interactive query engine with native support for Iceberg, enabling fast and 
cost-efficient querying of large-scale datasets. [Amazon 
EMR](https://aws.amazon.com/emr/) integrates Iceberg with Apache Spark, Apache 
Flink, Apache Hive, Presto and Trino, making it easy to process and analyze 
data at scale. [AWS Glue](https://aws.amazon.com/glue/) provides fully managed 
data integration capabilities, including schema evolution, maintenance, o
 ptimizations and partition management for Iceberg tables. Together, these AWS 
services enables a high-performance and cost-effective data lakehouse solution 
powered by Iceberg.

Review Comment:
   Good point!



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