tomtongue commented on code in PR #12468: URL: https://github.com/apache/iceberg/pull/12468#discussion_r1985326690
########## site/docs/vendors.md: ########## @@ -22,6 +22,10 @@ title: "Vendors" This page contains some of the vendors who are shipping and supporting Apache Iceberg in their products +### [Amazon Web Services (AWS)](https://aws.com) + +AWS provides a comprehensive suite of services 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, 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. Review Comment: @rbowen Sorry for jumping in, maybe Flink and Hive should be added here in the EMR part because the EMR doc covers Spark, Flink, Hive Trino in https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-iceberg-use-cluster.html, and Iceberg doc also covers Flink and Hive. ```suggestion AWS provides a comprehensive suite of services 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. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org
