Snowflake Delivers the Enterprise Lakehouse with Enhanced Open Data Access and Flexibility for Agentic AI

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Building on this foundation, Snowflake is introducing near real-time streaming analytics (now in private preview), enabling organizations to act on live data within seconds, using the familiar tools and secure platform they already trust. With built-in support for leading data streams like Kafka, Kinesis, and other sources, customers can now combine live data with historical context to power mission-critical use cases like fraud detection, personalization, recommendations, observability, and IoT monitoring. Whether modernizing existing analytics or launching new near real-time services, Snowflake customers now gain an end-to-end solution for immediate insights and streaming intelligence across all their data.

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Delivering Enterprise-Grade Capabilities that Fuel AI Agents and Apps

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Following Snowflake’s recent acquisition of Crunchy Data, the company has introduced Snowflake Postgres, a fully-managed service that brings the world’s most popular database onto the Snowflake platform. The separation of transactional data in Postgres from analytical data has long been a major architectural roadblock for enterprises, forcing costly data movement and preventing real-time data access for apps and AI agents. Snowflake Postgres changes this by extending support to transactional, hybrid, and analytical workloads natively on the Snowflake platform. Now, Snowflake is bringing the Postgres database and ecosystem developers love to the platform enterprises trust. With transactional Postgres data within the same secure foundation as enterprises’ analytics and AI, Snowflake is progressing the enterprise lakehouse beyond insight into action — helping organizations build AI agents and intelligent apps on operational data.

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Snowflake is also open sourcing pg_lake (now generally available), a set of Postgres extensions designed to help developers and data engineers integrate Postgres with a powerful lakehouse system. With pg_lake, developers can directly query, manage, and write to Apache Iceberg tables using standard SQL — all from their familiar Postgres environment.

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Building on these innovations, Snowflake is continuing to bring transactional and analytical workloads together through major advancements in Snowflake Unistore, powered by Hybrid Tables. Now generally available on Microsoft Azure, Hybrid Tables empower organizations to simplify their data management and build lightweight transactional apps on Snowflake. And to ensure these workloads meet the stringent security needs of modern enterprises, Snowflake is introducing enhanced security capabilities for Hybrid Tables — including Tri-Secret Secure support (now generally available), an extra layer of protection with a customer-managed key, and periodic rekeying (now generally available) to strengthen data protection and help organizations meet regulatory requirements.

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. MuleSoft’s 10th annual Connectivity Benchmark Report, in collaboration with Vanson Bourne and Deloitte Digital, is based on survey data from interviews with 1,050 IT leaders across the globe.

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Apache Iceberg is a high-performance format for huge analytic tables. “Apache” is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries.

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Polaris Catalog, a vendor-neutral, open catalog implementation for Apache Iceberg — the open standard of choice for implementing data lakehouses, data lakes, and other modern architectures.

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Iceberg defines a REST-based Catalog API for managing table metadata and performing catalog operations. The REST catalog protocol is a common API (using the OpenAPI spec) for interacting with any Iceberg catalog.

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Forward Looking Statements

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This press release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) Snowflake’s business strategy, plans, opportunities, or priorities (ii) the release, adoption, and use of Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) Snowflake’s vision, strategy, and expected benefits relating to artificial intelligence and other emerging product areas, including the expected benefits and network effects of the AI Data Cloud, and (v) the integration, interoperability, and availability of Snowflake’s products, services, and technology offerings with and on third-party platforms. Other than statements of historical fact, all statements contained in this press release are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and/or Snowflake management’s good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.

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© 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

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About Snowflake

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Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

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Contacts

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Media Contacts:

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Sandya Kola

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Product PR Specialist, Snowflake

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