Snowflake, the AI Data Cloud company, is launching innovations that make it easier for organizations to ingest, access, and govern their data across the entire data lifecycle, redefining the enterprise lakehouse for the AI era.
According to the company, new advancements toSnowflake Horizon CatalogandSnowflake Openflow(now generally available) enable enterprises to connect all their data from disparate sources and catalogs, making it accessible for AI agents to drive value—all with consistent, built-in security and governance.
Snowflake is also “redefining how enterprises can build and power AI agents and apps” by helping organizations turn data into immediate insights and near real-time experiences withInteractive Tables and Warehouses(generally available soon), as well as enabling customers to leverage real-time transactional data faster and more efficiently withSnowflake Postgres(public preview soon).
“The enterprise lakehouse represents the evolution of how organizations manage and activate data for AI,” said Christian Kleinerman, EVP of product, Snowflake. “With advancements to Horizon Catalog, we’re giving enterprises context and governance for AI across all their data by default—wherever it lives, and without vendor lock-in. Coupled with Openflow and Snowflake Postgres, it’s now even easier for customers to connect and use their data securely, turning every dataset into the fuel for intelligence.”
Horizon Catalog provides context for AI and a unified security and governance framework that secures and connects data across every region, cloud, and format—all interoperable and without vendor lock-in, the company said.
It’s designed to work seamlessly with any engine, any data format, and from anywhere—spanning native Snowflake objects, open table formats such asApache Iceberg and Delta Lake, and even data stored in relational databases such as SQL Server and Postgres.
These advancements enable external engines to securely access data (public preview soon) in Apache Iceberg tables, as well as create, update, or manage data stored in Iceberg tables (private preview soon).
Organizations now gain advanced flexibility, allowing teams to securely use their preferred engines on a single copy of data, making it easier to share, connect, and activate that data from a universal AI catalog, Snowflake said.
With Openflow, enterprise users can securely automate data integration and ingestion from virtually any source, making it easier to keep data centralized across the enterprise lakehouse.
Snowflake is alsoexpanding integration optionsthrough its partnership withOracle(now in private review), enabling customers to harness near real-time change data capture built on Openflow to continuously stream transactional updates into the Snowflake AI Data Cloud.
Additionally, Snowflake is extending its leadership in data performance across all data with the introduction of Interactive Tables and Interactive Warehouses. Providing low-latency and high-concurrency, this new advancement makes analytics feel instantaneous, enabling teams to uncover insights in sub-seconds, not minutes. Now, enterprises have the power to work with live data immediately across their business intelligence tools, the company said.
Building on this foundation, Snowflake is introducingnear 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.
Following Snowflake’s recentacquisitionof 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 company said.
Snowflake is also open sourcingpg_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.
For more information about this news, visit www.snowflake.com.