경계 없는 레이크하우스 가속화: 교차 클라우드 캐싱 미리 보기 출시 발표

Today, we are excited to announce enhancements to the borderless Lakehouse , our answer to how data engineers, data scientists, and increasingly, AI agents, can query governed data directly where it lives. To reason accurately and automate complex enterprise workflows, agents and data consumers of all types need fast, unified access to an organization's complete data estate, joining customer records, transaction logs, and operational telemetry across clouds.

However, modern enterprise data is rarely confined to a single location; data estates often span Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage, operational databases, and SaaS platforms like Salesforce, SAP, and Workday. Historically, uniting these distributed datasets required brittle ETL pipelines, duplicated storage, and prohibitive cross-cloud data transfer costs. We introduced the borderless Lakehouse earlier this year to let organizations query and activate data in place across clouds.

By adopting the Apache Iceberg REST catalog specification, we federate directly to catalogs such as Databricks Unity Catalog, AWS Glue, and Snowflake Horizon. We also introduced Partner Cross-Cloud Interconnect to establish high-bandwidth, private links to other cloud providers, lowering per-gigabyte transfer costs compared to the public internet. Today, we are taking multi-cloud efficiency a step further by optimizing how much data needs to be transferred across the wire in the first place . We are excited to announce two new features to help further reduce costs of querying cross-cloud data.

First, the preview of cross-cloud caching for Lakehouse transparently accelerates cross-cloud queries in BigQuery and cuts remote transfer costs by caching frequently accessed data locally in Google Cloud. Combining standard Iceberg columnar compression with cross-cloud caching means you often only need to transfer under 5% of the data you process across clouds, which helps lower the Total Cost of Ownership (TCO) to make cross-cloud analytics and AI viable at enterprise scale.