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BigQuery Cross-cloud Lakehouse Adds Snowflake Remote Catalog Support

Piotr Siemiński · 2026

BigQuery Cross-cloud Lakehouse Adds Snowflake Remote Catalog Support

Some teams need and use both BigQuery and Snowflake - for different purposes, inplementing data mesh principles. It used to be tougher to make these two platforms work flawlessly together, but..

BigQuery Cross-cloud Lakehouse now supports Snowflake as a remote catalog provider in Preview. 🧵

Google says teams can configure federated catalogs that query data stored in Snowflake directly from Google Cloud, using either BigQuery or Apache Spark.

  • Announced 13 July 2026
  • Snowflake is a remote catalog provider in Preview
  • Query through BigQuery or Apache Spark
  • Query Snowflake-held data directly from Google Cloud
  • No data migration or complex ETL pipeline required for this path

My honest take: federation is becoming a default design choice when the data must remain where it is.

📚 Source: https://docs.cloud.google.com/bigquery/docs/release-notes

P.S. Where does your team move data today mainly because querying it in place was not an option? 👇

Black BigQuery Cross-cloud Lakehouse graphic comparing Snowflake data copied to Google Cloud through ETL with a federated catalog queried through BigQuery and Apache Spark.
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