What is AWS Clean Rooms?
AWS Clean Rooms is a service that enables companies and their partners to perform joint data analyses without exposing the underlying raw data. Each participant in a clean room collaboration configures which data is contributed and which queries are permitted. Data itself is never moved; it is queried at its original location (e.g., Amazon S3, AWS Glue Data Catalog, or Snowflake).
The service addresses a growing challenge in data-driven collaboration: organizations want to derive insights from shared data but cannot exchange raw data due to privacy, compliance, or competitive reasons. Clean Rooms solves this dilemma through analysis rules, optional Cryptographic Computing, and Differential Privacy.
Typical applications are found in advertising (joint attribution without raw data exchange), healthcare (research collaboration without exposing patient data), and financial services (fraud detection across institutional boundaries).
Core Features
- Collaborations: Create clean room environments where multiple AWS accounts contribute data in a controlled manner
- Analysis Rules: Define permitted SQL queries or PySpark jobs, aggregation levels, and output constraints per participant
- Cryptographic Computing: Process data while it remains encrypted for especially strict privacy requirements
- Differential Privacy: Mathematically grounded protection against re-identification of individual users
- AWS Clean Rooms ML: Lookalike modeling that lets two parties identify similar audiences without exchanging training data
- Entity Resolution: Integration with AWS Entity Resolution to match identities across datasets
- No Data Movement: Data remains in respective AWS accounts or supported third-party systems and is analyzed in place
Typical Use Cases
Advertising Attribution: Advertisers and publishers jointly analyze campaign performance and conversion rates without exchanging personal raw data.
Healthcare Research: Research institutions and pharmaceutical companies jointly analyze clinical data without exposing patient information. Statistical analyses are performed on the combined datasets.
Fraud Detection: Financial institutions cooperate in detecting fraud patterns across institutional boundaries without sharing sensitive transaction data.
Benefits
- Data collaboration without exposing raw data
- Built-in privacy protection through analysis rules, Cryptographic Computing, and Differential Privacy
- No data movement: data stays in your own AWS account or a supported third-party system
- Flexible analysis rules for different collaboration scenarios
- Binding SLA with at least 99.9% Monthly Uptime Percentage
Integration with innFactory
As an AWS Reseller, innFactory supports you with AWS Clean Rooms: from designing data collaboration and defining analysis rules and access controls to integration with existing analytics pipelines.
Typical Use Cases
Frequently Asked Questions
What is AWS Clean Rooms?
AWS Clean Rooms enables companies and their partners to analyze shared datasets without sharing the underlying raw data. Each participant retains full control over their data and its access rules.
How does AWS Clean Rooms protect data?
The service uses analysis rules to restrict SQL queries, optional Cryptographic Computing to process encrypted data, and Differential Privacy to protect against re-identification. Only configured results are returned, never raw data.
What does AWS Clean Rooms cost?
Billing is consumption-based: SQL and PySpark queries are charged per Clean Rooms Processing Unit (CRPU) and time unit, ML features per record volume, and Entity Resolution per 1,000 records. Standard Amazon S3 and AWS Glue charges may also apply.
Which industries benefit from AWS Clean Rooms?
The service is suitable for any industry requiring data collaboration between organizations: advertising and marketing, healthcare, financial services, retail, and more.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of AWS (official documentation). This page does not represent an offer by AWS.