AWS Clean Rooms vs Amazon DataZone

In brief, imagine a car company wishes to perform analytics on the metadata collected by TV broadcaster airing one of its car commercials. The TV broadcaster can't hand over metadata about their viewers, but at the same time they fully wish to monetize that data and provide the paid advertiser evidence that their commercials are having an impact so that they keep funding additional advertisements. That's where clean rooms help out. Clean rooms allow owners of data (TV broadcaster) to grant query access to external interested parties (car company) to conduct analytics such as the age group of most viewers watching their commercial. AWS clean rooms facilitates that interaction. The data is shared in a clean room (e.g. Amazon S3 bucket) that is owned by the data producer, but queryable by the data consumer. AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets—all without sharing or copying one another's underlying data. With AWS Clean Rooms, you can create a secure data clean room in minutes and collaborate with any other company on AWS to generate unique insights about advertising campaigns, investment decisions, and research and development.

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. With Amazon DataZone, administrators and data stewards who oversee an organization's data assets can manage and govern access to data using fine-grained controls. These controls are designed to ensure access with the right level of privileges and context. Amazon DataZone makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so that they can discover, use, and collaborate to derive data-driven insights.

So one major difference is that AWS clean rooms guard against sharing or copying underlying data, whereas Amazon DataZone works to streamline governance of the data in terms of cataloging, discovery, and sharing.