AWS Data Exchange vs BigQuery Data Clean Rooms

AWS Data Exchange is a marketplace for finding, subscribing to, and sharing data products. It has more than 3,500 products from over 300 providers, including over 1,000 free data products and custom data products. Offerings can be delivered as files, through APIs, or as Amazon Redshift, Amazon S3, and AWS Lake Formation data sets; Lake Formation is marked Preview. Data can be exported to S3 and analyzed with Athena or Redshift, or used with SageMaker, EMR, Glue, and Lake Formation. CloudWatch Events can retrieve new data-set revisions to S3 automatically. The service encrypts data in transit with SSL/TLS and at rest with server-side encryption, and CloudTrail integration supports API-call auditing. Providers can offer free or paid subscriptions lasting 1 to 36 months, with private offers allowing customized terms. Prices for paid products are set by providers, and subscribers may also incur standard S3 transfer charges and costs for AWS services used to store, process, or analyze data. Public Open Data on AWS products can be accessed with or without an AWS account.

BigQuery Data Clean Rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data. The cloud service works with BigQuery sharing, and shared resources must be BigQuery tables, views, or table-valued functions. Owners manage rooms, contributors publish data, and subscribers query it. Contributors can apply analysis rules, including aggregation thresholds, and owners or publishers can offer predefined query templates without exposing the underlying tables or views. Subscribers are automatically prevented from copying or exporting raw data, while contributors can configure controls for query results. These controls have limits: Google cautions that analysis rules may not stop sophisticated queries from extracting unauthorized data, and notes that rules can be set only on views. Each room can contain at most 100 shared resources. Availability is restricted to BigQuery sharing regions, without listings across multiple regions. Rooms can be managed in the Google Cloud console or created through the API; setup requires enabling the Analytics Hub API and assigning required IAM roles. Contributors pay for storage, while subscribers pay for compute when running queries.