About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Snowflake Combines Data Collaboration and Privacy in Cross-Cloud Data Clean Rooms

Subscribe to our newsletter

Snowflake has announced general availability of Snowflake Data Clean Rooms that allow enterprises to securely share data and collaborate while preserving data privacy. The solution is designed to help firms achieve business value in the Snowflake Data Cloud and is the result of Snowflake’s acquisition of data clean room technology provider Samooha, which is now integrated into the Data Cloud and enhanced by compliance, security, privacy, interoperability and access capabilities provided by Snowflake Horizon.

“Snowflake is well positioned to help marketers across the ecosystem realise the benefits of secure, cloud-agnostic data collaboration,” says Kamakshi Sivaramakrishnan, Samooha co-founder and Snowflake Data Clean Rooms director of product management. “Snowflake Data Clean Rooms allow customers to unlock high value business outcomes with their data, all while ensuring data stays private and secure.”

Built for both business and technical users, Snowflake Data Clean Rooms allow organisations to unlock value from data faster with industry-specific workflows and templates such as audience overlap, reach and frequency and last touch attribution, and collaborate with business partners regardless of whether they are on Snowflake. Built on the Snowflake Native App Framework that is generally available on AWS and Azure, with a private preview on Google Cloud Platform, Snowflake Data Clean Rooms come to data, removing the need for data to leave the governance, security, and privacy parameters of Snowflake, and helping customers maintain privacy while allowing for deeper analytical insight with business partners.

Snowflake Data Clean Rooms are initially available to customers in AWS East, AWS West, and Azure West.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...