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Brief
Snowflake Data Clean Rooms

Snowflake Data Clean Rooms

Data Clean RoomsProduct· part of Snowflakesnowflake.com

Enables privacy-safe, policy-governed data collaboration between advertisers, publishers, and data partners directly within Snowflake — no data movement, no third-party infrastructure required.

Last updated Jul 21, 2026 by ATDb automated enrichment · Connections updated Jul 27, 2026

Founded
2022
HQ
San Mateo, California, United States
Parent
Connections
16

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
15integrations1corporate family

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 feature of the Snowflake Data Cloud platform that enables organizations to collaborate on sensitive datasets without exposing raw underlying data. Built directly into Snowflake's infrastructure, it allows advertisers, publishers, agencies, and data providers to perform joint analyses, audience matching, and measurement in a secure, governed environment using differential privacy and policy-based access controls — eliminating the need to move data outside of Snowflake. In the AdTech ecosystem, Snowflake Data Clean Rooms addresses the critical industry challenge of identity resolution and audience activation in a cookieless world. Brands and media owners can match first-party data sets, measure campaign effectiveness, and build lookalike audiences without sharing PII. The solution supports a wide range of use cases including retail media network collaboration, walled garden measurement, and cross-publisher frequency capping, making it a central infrastructure layer for privacy-preserving data partnerships. As a product feature of Snowflake — a publicly traded cloud data platform company — the clean room offering competes directly with LiveRamp Safe Haven, AWS Clean Rooms, Amazon Marketing Cloud, and Habu. Its key differentiator is deep integration with Snowflake's existing data sharing, governance, and compute capabilities, allowing enterprises already on Snowflake to deploy clean rooms without additional data movement or third-party infrastructure. This positions it strongly among large enterprise advertisers and publishers who have already standardized on Snowflake as their data platform.

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 (15)

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