AWS Clean Rooms now supports multiple clouds and data sources
Today, AWS Clean Rooms announces support for collaboration with datasets from multiple clouds and data sources. This launch allows companies and their partners to easily collaborate with data stored in Snowflake and Amazon Athena, without having to move or share their underlying data among collaborators.
With AWS Clean Rooms expanded data sources and clouds support, organizations can seamlessly collaborate with any company leveraging datasets across AWS and Snowflake, without any party having to move, reveal, or copy their underlying datasets. This launch enables companies to collaborate on the most up-to-date data with zero extract, transform, and load (zero-ETL), eliminating the cost and complexity associated with migrating datasets out of existing environments. For example, a media publisher with data stored in Amazon S3 and an advertiser with data stored in Snowflake can analyze their collective datasets to evaluate the advertiser's spend without having to build ETL data pipelines, or share underlying data with one another. We are just getting started, and will continue to expand the ways in which customers can securely collaborate in AWS Clean Rooms while maintaining control of their records and information.
With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake, to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.