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AWS Clean Rooms - Privacy-Safe Data Analysis

AWS Clean Rooms enables privacy-safe collaboration and analysis of shared data without exposing raw data.

Analytics
Pricing Model Pay per query
Availability Selected regions
Data Sovereignty EU regions available
Reliability 99.9% availability SLA

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, while data never leaves the respective AWS account.

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 cryptographic methods and strict query controls.

Typical applications are found in advertising (joint attribution without cookie data), healthcare (research collaboration without patient data), and financial services (fraud detection across institutional boundaries).

Core Features

  • Collaborations: Create clean room environments where multiple parties contribute data in a controlled manner
  • Analysis Rules: Define permitted query types, aggregation levels, and output formats per participant
  • Cryptographic Computing: Optional differential privacy and cryptographic computing capabilities
  • No Data Movement: Data remains in respective AWS accounts and is analyzed in-situ
  • ML Models: Support for ML model training on shared data without data exchange

Typical Use Cases

Advertising Attribution: Advertisers and publishers jointly analyze campaign performance and conversion rates without exchanging personal data. Clean Rooms replaces cookie-based tracking methods.

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 cryptographic methods
  • No data movement: data stays in your own AWS account
  • Flexible analysis rules for different collaboration scenarios

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

Privacy-safe data analysis
Advertising attribution without data sharing
Cross-industry data collaboration

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.

How does AWS Clean Rooms protect data?

The service uses cryptographic methods, query restrictions, and output controls to ensure only aggregated results are returned. Individual records cannot be extracted or reconstructed.

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.

AWS Cloud Expertise

innFactory is an AWS Reseller with certified cloud architects. We provide consulting, implementation, and managed services for AWS.

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