Snowflake Data Clean Rooms

Leading cloud-native data clean room provider with strong enterprise penetration, competing on platform neutrality, scale, and no-data-movement architecture

Snowflake Data Clean Rooms is a native clean room capability built directly into the Snowflake Data Cloud platform, allowing organizations to collaborate on sensitive, overlapping datasets without either party exposing raw underlying data. Leveraging Snowflake's core architecture — including its Data Sharing and Collaboration features — clean rooms are implemented as governed, policy-enforced environments where queries run on joined data but results are only returned in aggregate or anonymized form. This approach eliminates the need to move or copy data, a key differentiator from legacy clean room solutions that required data egress. In the AdTech ecosystem, Snowflake Data Clean Rooms are primarily used for audience overlap analysis, campaign measurement, identity resolution, and media planning between advertisers, publishers, agencies, and data providers. The product competes directly with LiveRamp Safe Haven, AWS Clean Rooms, Amazon Marketing Cloud, and InfoSum. Snowflake's advantage lies in its massive existing enterprise customer base, its neutral positioning as a non-media company, and the ability to run clean rooms entirely within a customer's existing Snowflake environment without additional infrastructure. Snowflake has invested heavily in this product area, acquiring Samooha in late 2023 to accelerate its clean room capabilities with a more user-friendly interface and no-code collaboration workflows. The combined offering targets enterprise advertisers, media companies, retailers building retail media networks, and data-driven publishers seeking privacy-compliant data collaboration in a post-cookie, privacy-first landscape. It is widely considered one of Snowflake's highest-priority AdTech-adjacent product lines.