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Snowflake Data Clean Rooms

Snowflake Data Clean Rooms

Data Clean RoomsProduct· part of Snowflakesnowflake.com

Snowflake Data Clean Rooms is a native Snowflake solution that provides a secure, multi-collaborator environment where participants can share and query each other's data using approved templates, without exposing the underlying raw data.

Last updated Oct 5, 2026 by the ATDb Editorial Team

Founded
2022
HQ
San Mateo, California, United States
Parent
Snowflake
Connections
15

AI-drafted from public sources5 sources cited

At a glance

Employees
10001+
Funding
~$3.4B (Snowflake corporate, pre-IPO)
Revenue
$3B+ annually (Snowflake total; clean rooms is a product line, not separately reported)
Stock
SNOW
14integrations1corporate family
Identity ResolutionPrivacy TechnologyData Management Platform

About

Native cloud-based clean room solution embedded within the Snowflake Data Cloud, competing with standalone clean room vendors and cloud-native alternatives from AWS and Amazon

Snowflake Data Clean Rooms is a native Snowflake solution that provides a secure, multi-collaborator environment where participants can share and query each other's data using approved templates, without exposing the underlying raw data. Launched following Snowflake's acquisition of Samooha in December 2023, the solution is available through the Snowflake Marketplace without additional access fees. It offers a user-friendly interface and industry-specific templates, making secure collaboration on sensitive data accessible to organizations of all sizes while maintaining strict privacy and governance standards. The platform supports cross-cloud collaboration across AWS and Azure, and leverages Snowpark for AI/ML alongside built-in privacy features to enable deeper analytical insights while keeping sensitive data within its secure environment. Data providers control which analyses can be run against their data, ensuring that other collaborators gain insights without unrestricted access, and results can be returned as aggregated outputs or activated directly to a collaborator's Snowflake account. Source 1: snowflake.com — About Snowflake Data Clean Rooms Source 2: admonsters.com — What Are the Top Data Clean Rooms Solutions?

Business model

SaaS

Target market

Enterprise

What they offer

  • Snowflake Data Clean Rooms

    Native clean room environment enabling privacy-safe joint data analysis between collaborating parties without exposing raw data

  • Clean Room Templates

    Pre-built analysis templates for common AdTech use cases such as audience overlap, reach and frequency, and attribution

  • Differential Privacy Controls

    Built-in differential privacy mechanisms and query sensitivity controls to prevent re-identification of individuals

  • Policy-Based Access Controls

    Granular governance rules that define what queries collaborators can run and what data they can access

  • Snowflake Marketplace Integration

    Ability to connect clean room collaborations with data providers and audiences available on the Snowflake Marketplace

  • Multi-Party Clean Rooms

    Support for clean room environments involving more than two collaborating parties simultaneously

Key features

No data movement — collaboration happens within Snowflake's existing infrastructureDifferential privacy and query-level sensitivity controlsPolicy-based access governance for each collaborating partyPre-built AdTech templates for overlap analysis, attribution, and measurementIntegration with Snowflake Data Marketplace for third-party data enrichmentSupport for multi-party collaboration scenariosNative SQL-based interface familiar to data teamsAudit logging and compliance tracking for all clean room queries

Use cases

Advertiser-publisher audience overlap and reach analysisCampaign attribution and incrementality measurementRetail media network data collaborationWalled garden measurement (connecting CRM data to platform data)Lookalike audience modeling without sharing raw PIICross-publisher frequency cappingSecond-party data partnerships between brands and data providersIdentity resolution and match rate analysis

Customer segments

Enterprise advertisers and brandsPublishers and media ownersRetail media networksData providers and data brokersAdvertising agencies and holding companiesAdTech platforms and DSPs

Tech & specs

Technology stack

Snowflake Data CloudDifferential privacy algorithmsSnowpark (Python/Java/Scala compute)Snowflake Horizon governance layerSQL-based query engineMulti-cloud infrastructure (AWS, Azure, GCP)

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAAISO 27001Differential Privacy

Deployment

Cloud

API

Yes

Corporate history
  1. 2022 · Founded
Connection details
See integrations with Snowflake Data Clean Rooms (14)

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