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AWS Clean Rooms

AWS Clean Rooms

Create clean rooms in minutes. Collaborate with your partners without sharing raw data.

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What is AWS Clean Rooms?

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 to generate unique insights about advertising campaigns, investment decisions, and research and development.

Benefits

AWS Clean Rooms helps you more quickly and easily deploy your own clean rooms without having to build, manage, and maintain your own solutions. Companies can also use APIs to integrate the functionality of AWS Clean Rooms into their workflows.
AWS Clean Rooms makes it quick and easy to generate insights from multi-party data without having to move or share their raw data. Customers can directly permission their data in AWS and start collaborating with their partners' datasets stored in Snowflake and AWS with zero extract, transform, and load (zero-ETL).
AWS Clean Rooms supports stringent data-handling policies through a broad set of privacy-enhancing capabilities including fine-grained analysis rules, AWS Clean Rooms Differential Privacy, and cryptographic computing. And, you can use analysis logs to understand and audit how your data is used.

With AWS Clean Rooms, you can match and link customer records from across any application, channel, or data store. You can use PySpark, SQL, Spark SQL, or bring your own ML model and deploy it to unlock insights with your partners without having share your custom model or raw data with them.

Use cases

Bring together disparate data from across engagement channels and partner datasets to form a 360-degree view of your customers.
Collaborate with advertising and marketing partners to improve campaign planning, activation, and measurement, and offer better, more relevant consumer experiences.
Securely analyze sensitive datasets across companies and corporate divisions to better predict market trends, assess risk, and improve reporting.
Collaborate to securely accelerate the development of new products, technologies, and programs that rely on datasets across multiple companies.