Snowflake vs
Google BigQuery:
A Comprehensive Guide

Understanding the key differences and how to migrate from Snowflake to BigQuery

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growth in access control observed between 2019 and 2024
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of enterprises want to improve remote access control for their hybrid workplace
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Over 70% of enterprises with access control report less than 5 security incidents yearly
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In 2024, Google BigQuery had the 3rd highest market share among data warehouses (13.08%) – after Snowflake (20.75%) and Amazon RedShift (15.8%).

Over 7,853 companies use Google BigQuery as their data warehousing tool.

Snowflake to BigQuery migration: key considerations

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Enterprises are migrating from Snowflake to Google BigQuery for many reasons – including enhanced security, cost efficiency, and technical benefits. Among its security features, BigQuery offers end-to-end encryption and access control at a granular level. However, this migration has its share of challenges due to the variation in the architecture of these data warehouses – and other notable differences. 

 

Enterprises need to understand these core differences before migrating from Snowflake to Google BigQuery. For their benefit, our latest whitepaper titled, “Migrating from Snowflake to BigQuery”:

 

  • Outlines some of the migration-related challenges.
  • Provides solutions to overcome these challenges.

 

Download this report for a detailed assessment of how to successfully migrate from Snowflake to Google BigQuery.