Google previews Gemini integration with its cross-cloud Lakehouse
Google Cloud announced a preview integration between Gemini and its Borderless Lakehouse. Lakehouse catalog federation can expose sources such as Databricks Unity Catalog and Snowflake Horizon inside Gemini, letting users query records in natural language while agents use the same data context without moving the underlying data.
Event / data period: 2026-10-15
Published: · Updated:
Google also says BigQuery now supports Iceberg V3 features, including row-level deletion vectors and sort orders. Private Cross-Cloud Interconnect links to AWS and Azure are offered at 10 or 100 Gbps; caching can serve repeat reads from within Google Cloud.
Together, these capabilities are intended to support cross-cloud analytics and agent access over open Iceberg tables. Petabyte-scale reasoning and performance comparable to local storage are Google’s architecture claims; the post does not provide an independent performance test of the new integration.
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Google previews Gemini integration with its cross-cloud Lakehouse
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Google previews Gemini integration with its cross-cloud Lakehouse
Google Cloud announced a preview integration between Gemini and its Borderless Lakehouse. Lakehouse catalog federation can expose sources such as Databricks Unity Catalog and Snowflake Horizon inside Gemini, letting users query records in natural language while agents use the same data context without moving the underlying data.
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This event record summarizes the dated statement in the cited primary source. Product or test claims from the source are not presented as independently verified results.
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