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Brief
Samooha

Samooha

Samooha enables secure, privacy-safe data collaboration through a native Snowflake data clean room that allows enterprises to unlock insights from shared data without exposing sensitive information or violating privacy regulations.

samooha.comBellevue, Washington, United StatesFounded 2020

Last updated May 11, 2026 by the ATDb Editorial Team

Industry
Data Clean Room / Data Collaboration
Business Model
SaaS
Target Market
Enterprise
Employee Count
11-50
Funding
$12.5M
API Available
Yes
Market Position

Emerging leader in Snowflake-native data clean room solutions

Overview

Samooha is a data collaboration platform that provides a native data clean room solution built on Snowflake's Data Cloud. The company enables organizations to securely share, collaborate, and analyze sensitive data with partners while maintaining privacy and compliance. Their platform allows companies to perform joint analytics, audience activation, and measurement without exposing raw data or compromising privacy regulations. Founded by former Snowflake executives, Samooha focuses on making data clean rooms accessible and scalable for enterprises across various industries including advertising, media, retail, and financial services. The platform leverages Snowflake's secure data sharing capabilities to provide a no-copy architecture that keeps data within customers' existing Snowflake environments. This approach reduces data movement risks and simplifies compliance with privacy regulations like GDPR and CCPA. Samooha positions itself as a leader in the emerging data clean room market, competing with both standalone clean room providers and built-in solutions from major cloud platforms. The company's focus on ease of deployment, scalability, and integration with the Snowflake ecosystem has made it attractive to enterprises looking to enable privacy-safe data collaboration without significant infrastructure investments.

Products & Features

Samooha Data Clean Room

Native Snowflake data clean room platform for secure data collaboration and privacy-safe analytics

Audience Overlap Analysis

Tools for analyzing audience overlap between partners without sharing raw data

Campaign Measurement

Privacy-safe measurement and attribution capabilities for advertising campaigns

Data Collaboration Workflows

Pre-built templates and workflows for common data collaboration use cases

Key Features
Native Snowflake integrationNo-copy data architecturePrivacy-preserving analyticsSecure multi-party computationPre-built collaboration templatesAudience activation capabilitiesCampaign measurement and attributionDifferential privacy controlsAudit logging and governanceSelf-service data collaboration
Use Cases
Advertising measurement and attributionAudience overlap analysisMedia mix modelingRetail media network analyticsCross-publisher campaign measurementCustomer data enrichmentFraud detection across partnersSupply chain collaborationHealthcare data collaborationFinancial services data sharing
Customer Segments
Advertisers and brandsMedia companies and publishersRetail media networksData providersAd tech platformsFinancial servicesHealthcare organizationsTelecommunications companies

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