AWS Clean Rooms
Enables enterprises to collaborate and analyze combined datasets with partners in a privacy-safe environment without exposing raw data, built natively on AWS's trusted cloud infrastructure.
Last updated Sep 26, 2026 by ATDb automated enrichment
At a glance
- Employees
- 10001+
- Stock
- AMZN
About
Major cloud-native data clean room provider leveraging AWS's dominant infrastructure position to compete in the rapidly growing privacy-preserving data collaboration market
AWS Clean Rooms, launched in preview at AWS re:Invent 2022 and made generally available in March 2023, is a fully managed cloud service that allows companies and their partners to analyze combined datasets without sharing or revealing the underlying raw data. Built on AWS's cloud infrastructure, it enables advertisers, publishers, data providers, and other organizations to collaborate on sensitive datasets while maintaining strict privacy controls through configurable query restrictions and cryptographic computing options. In the AdTech ecosystem, AWS Clean Rooms addresses the growing need for privacy-preserving data collaboration in a post-third-party-cookie world. Brands can match their first-party customer data with publisher or data partner datasets to measure campaign performance, build audiences, and derive insights — all without either party exposing their proprietary data. The service integrates natively with the broader AWS ecosystem including Amazon S3, AWS Glue, Amazon Redshift, and Amazon Ads, making it a natural fit for enterprises already operating on AWS infrastructure. AWS Clean Rooms competes directly with Google's PAIR/Publisher Advertiser Identity Reconciliation, Snowflake Data Clean Rooms, Habu, InfoSum, and LiveRamp's Clean Rooms offering. Its key differentiators include deep AWS ecosystem integration, enterprise-grade scalability, flexible collaboration controls, and the addition of AWS Clean Rooms ML for privacy-preserving machine learning. As privacy regulations tighten globally, AWS Clean Rooms has rapidly become a significant player in the data clean room market, leveraging Amazon's dominant cloud market position to attract large enterprise customers.
Business model
Usage-based (Cloud Service)
Target market
Enterprise
What they offer
AWS Clean Rooms
Core managed clean room service allowing multiple parties to query and analyze combined datasets with configurable privacy controls and query restrictions
AWS Clean Rooms ML
Privacy-preserving machine learning capability enabling lookalike modeling and ML-based insights without exposing raw training data
Differential Privacy
Built-in differential privacy controls that add mathematical noise to query outputs to prevent re-identification of individuals
Cryptographic Computing for Clean Rooms
Advanced cryptographic techniques including secure multi-party computation for highest-sensitivity data collaboration scenarios
Collaboration Templates
Pre-built analysis templates for common AdTech use cases such as audience overlap, campaign measurement, and reach/frequency analysis
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2022 · Founded