Snowflake announced advancements that make data AI-ready by design, allowing enterprises to rely on data that is continuously available, usable, and governed as AI transitions from experimentation into real-world production systems. With new enhancements to Snowflake Postgres (generally available soon), the world's most popular database now runs natively in the AI Data Cloud so enterprises can consolidate their transactional, analytical, and AI use cases onto a single, secure platform. To help ensure AI systems are trusted at enterprise scale, Snowflake is further embedding enhanced interoperability, governance, and resilience features into its platform, enabling more customers to bring Snowflake directly to their data, wherever it lives. To address this need, Snowflake is expanding how customers access, share, and govern their data, so AI systems can scale with real-world demands: Freedom to work across engines without impacting governance controls: To reduce silos and avoid vendor lock-in, Snowflake enables enforcement of the same governance policies when Snowflake data is queried from other engines.
Snowflake Horizon Catalog, which provides context and governance for AI across all data, is enabling customers like science and technology company, Merck, and Motorq, a leading connected vehicle intelligence company, to leverage external engines to securely access data in Apache Iceberg tables (now generally available), as well as create, update, or manage data stored in Iceberg tables (public preview soon). Seamless data collaboration across open formats: As organizations increasingly rely on open table formats, Snowflake is simplifying how those formats are shared without duplicating data or managing fragile pipelines. Customers can now share data in open formats, while maintaining control over access and costs.
A new integration with Microsoft OneLake (now generally available) enables mutual customers with secured bidirectional read access for Iceberg data managed by Snowflake or Microsoft Fabric. This means customers can seamlessly access all their data across both platforms without complexity or data duplication. Built-in resilience to protect business-critical data: To help enterprises address regulatory requirements and withstand disruptions, Snowflake is strengthening how data is protected by default.
Snowflake Backups (now generally available) further strengthens data resilience by protecting business-critical data. Organizations can recover quicker from ransomware or disruptions, while ensuring data isn't altered or deleted once created. "Apache" is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries.
