Kaushal Jain

Running Apache Iceberg at scale often means managing buckets, IAM policies and background jobs. Interoperable storage removes that burden. In this session, learn how Snowflake brings native table simplicity to open Iceberg data. Snowflake handles compaction, metadata cleanup, security and lifecycle management. Tables remain fully interoperable and accessible to external engines through IRC APIs in Horizon. See how teams can migrate Iceberg workloads, support multi-engine access, and reduce operational complexity and total cost compared to customer-managed storage alternatives.

You've invested in Iceberg. But managing catalogs, storage, compaction and security across engines still falls on your team. Snowflake meets you wherever you are and reduces your operational burden at every step, from instant connectivity to zero-ops. We'll show you how it works, all fully open via IRC, with no disruption to what you already have.

Have multiple copies of the same data? Learn how Snowflake is delivering interoperability without compromise, making it easier to architect for multi-engine access on a single data copy, across more use cases, with governance policies that persists across engines at the table, row, and column level. In this What's New session we'll cover the latest features expanding what you can do with Iceberg v3, how Snowflake Storage for Apache Iceberg(tm) makes it easy to unlock interoperability without bucket managemnet, new Horizon Catalog capabilities that deliver universal governance for mulit-catalog envrinoments and persisst fine grained access policies across engines, and how to share and access open data within and outside of Snowflake's bounderies.