Interoperability
Interoperability is a hot topic in data collaboration conversations, encompassing cloud technology, region, data storage and format, and identity. Organizations want the flexibility to make their own choices while remaining unconstrained in their ability to collaborate with those who’ve made different decisions.
From a cloud infrastructure standpoint, the usage is fragmented across the market with AWS, Google Cloud and Microsoft Azure clouds dominating. That fragmentation creates collaboration challenges. Collaboration often starts by securely matching data sets through a common key, with various solutions offering different benefits and drawbacks. Additionally, interoperability between data clean room technologies poses another challenge: What happens if two organizations choose different DCR platforms? Can they still collaborate securely and effectively?
Solution providers increasingly recognize that no single, dominant solution exists and fragmentation will continue to be a challenge. Interoperability is key to enabling multiple solutions to coexist. Organizations should select a vendor that prioritizes flexibility and advancing interoperability across technologies, identities and clouds. This approach optimizes collaboration opportunities while adapting to evolving ecosystems.
Skills
Traditionally, data clean rooms were built with data analysts and data scientists in mind, requiring advanced technical expertise. While this approach was reasonable initially, it significantly limited accessibility, particularly for organizations or collaborators lacking technical resources. The result? A widening gap in collaboration opportunities.
The real opportunity lies in making data clean rooms accessible to everyone by bridging the skills gap. Modern data clean room platforms are evolving, offering users the flexibility to choose the interface that best suits their experience — whether it’s a code-based environment for technical users or a no-code interface for business users.
Snowflake Data Clean Rooms: Powering secure and scalable data collaboration
Snowflake Data Clean Rooms, built on the trusted infrastructure of the Snowflake AI Data Cloud, offer a comprehensive solution that addresses the common challenges associated with data collaboration. Here’s how.
Compliance: With the AI Data Cloud as a backbone, Snowflake Data Clean Rooms provide organizations with a comprehensive solution for compliance, security and privacy. Snowflake Horizon provides organizations with access to a unified set of capabilities designed to align seamlessly with internal policies, industry regulations and government mandates.
Governance: Snowflake’s sophisticated governance model enforces data usage policies across data sets, reducing the operational complexity of managing data distributed across systems while maintaining strict control over security and privacy. Snowflake also eliminates the need to move or duplicate data across systems.
Technology: Leveraging the scalability of the AI Data Cloud combined with advanced privacy-enhancing capabilities, Snowflake delivers an infrastructure that meets the needs of even the most complex collaboration use cases. Unlike some alternatives, Snowflake provides a neutral solution by neither selling data nor owning media, helping to ensure trust, transparency and unbiased data handling.
Interoperability: Snowflake’s features allow organizations to collaborate seamlessly across regions and clouds, including AWS, Google Cloud and Microsoft Azure. The platform’s cross-cloud capabilities eliminate vendor lock-in, enabling organizations to expand partnerships. Even partners who are not Snowflake customers can connect seamlessly through Snowflake Data Clean Rooms, for a truly collaborative ecosystem that fosters innovation and growth.
Skills: Recognizing the diverse skill levels among organizations, Snowflake Data Clean Rooms are designed to support both technical experts and business users. With intuitive interfaces, these data clean rooms lower the barriers to entry for data collaboration. By addressing the skills gap, Snowflake fosters accessibility in an area often dominated by technical constraints.
Strategy: Snowflake champions a strategy-first approach to data collaboration. A primary strategy is to start with small, manageable projects and scale quickly as teams gain experience and confidence. With no up-front licensing fees, Snowflake allows businesses to explore and expand partnerships with minimal risk.
Trusted by top publishers and industry leaders, Snowflake Data Clean Rooms provide a neutral, privacy-preserving and easy-to-implement environment for secure data collaboration.
Customer spotlight
Popular online job search platform Indeed chose Snowflake Data Clean Rooms to improve campaign performance measurement, reporting significant reductions in optimization efforts and seamless replication of processes across collaboration partners. Watch Indeed’s recommendations on how to get started with your data collaboration initiatives.
Ready to learn more? Download “The Essential Guide to Trusted Data Collaboration for Advertisers” and take the first step toward secure, privacy-first collaboration.
Need personalized guidance? Reach out to our sales team — we’re here to help you kick-start your data collaboration initiatives with confidence.
* While DCRs are a key technical enabler, they do not inherently guarantee compliance or privacy on their own. Effective use of a data clean room requires a broader ecosystem of practices, policies and responsible decision-making to meet the privacy standards. Without these, there’s still a potential for missteps that could lead to privacy issues, regardless of the clean room’s capabilities.
