AI is testing every architecture decision. When teams can't act on data where it lives, they copy it. Pipelines sprawl, governance fragments, costs compound, and AI agents end up reasoning over stale, disconnected data instead of the governed, semantically rich data they need.
The open lakehouse promised to solve data fragmentation without forcing everyone onto a single platform. But for most organizations, the format arrived before governance and semantic fragmentation could be addressed. That changes today. Snowflake's Interoperable Lakehouse, built on Apache Iceberg™, Apache Polaris™ and Open Semantic Interchange (OSI), is generally available. It offers a new blueprint for connecting, accessing, governing and operating on a single governed copy of your data, wherever it lives and without lock-in. By giving control back to data owners, not vendors, you can create agency over your data, and in the process cut architectural cost and ground every AI initiative in a foundation you can actually trust.
Act on data in place
Agency over your data starts with a connected data foundation — one place to act on every data set, for any operation, without copying it. With this launch, Snowflake advances that foundation across every layer of access. Snowflake's support for Apache Iceberg v3 is generally available and production-ready, providing the broadest set of v3 capabilities on the market today that are deeply integrated throughout the platform to unlock greater interoperability. Snowflake Storage for Apache Iceberg™ tables makes managed Iceberg as easy as CREATE TABLE. Zero-Copy Integrations bring your systems-of-record into the foundation with semantics intact. Horizon Context connects the business definitions every team and AI agent runs on. More data. More context. One governed copy.
