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Brief

AWS Clean Rooms

Data Clean RoomsProduct· part of Amazon Web Services (AWS)

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

Founded
2022
HQ
Seattle, Washington, United States
Connections
1

At a glance

Employees
10001+
Stock
AMZN
1corporate family

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

Configurable query controls and restrictions to prevent raw data exposureNative integration with Amazon S3, Amazon Redshift, and AWS GlueSupport for multiple collaboration members with granular access controlsDifferential privacy with adjustable privacy budgetCryptographic computing for highest-sensitivity use casesAWS Clean Rooms ML for privacy-safe lookalike modelingAudit logs and query transparencyNo data movement required — analyze data in placeIntegration with Amazon Ads data setsPre-built collaboration templates for AdTech workflows

Use cases

Advertiser and publisher audience overlap analysisCampaign performance measurement without data sharingFirst-party data enrichment with partner datasetsLookalike audience modeling across partner dataRetail media network data collaborationIdentity resolution and customer matchingCross-channel attribution analysisData marketplace collaboration between buyers and sellers

Customer segments

Enterprise advertisers and brandsDigital publishers and media companiesRetail media networksData providers and data marketplacesAd agencies and measurement firmsHealthcare and financial services companies requiring privacy-safe analytics

Tech & specs

Technology stack

Amazon RedshiftAmazon S3AWS GlueAWS Lake FormationAWS IAMSecure Multi-Party Computation (SMPC)Differential Privacy algorithmsAmazon AthenaAWS CloudTrail

Security & compliance

SOC 1SOC 2SOC 3GDPRCCPAHIPAA eligibleISO 27001FedRAMPPCI DSS

Deployment

Cloud

API

Yes

Corporate history
  1. 2022 · Founded
Connection details

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