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Snowflake / BigQuery

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Snowflake and BigQuery are the two main cloud data warehouses used in 2026 for large-scale analytics: they store and query terabytes to petabytes of data via SQL, with native separation of storage and compute, near-inst…

Snowflake and BigQuery are the two main cloud [data](/ressources/glossaire-de-la-tech/data-donnee) warehouses used in 2026 for large-scale analytics: they store and query terabytes to petabytes of data via SQL, with native separation of storage and compute, near-instant elasticity and pay-as-you-go billing.

Snowflake (launched in 2014) is multi-cloud (AWS, Azure, GCP), with a virtual warehouses architecture that isolates workloads. BigQuery (Google, launched in 2010) is GCP-native, fully serverless and billed per scanned byte or per slot.

They are the reference targets of the modern data stack (ingestion via Fivetran/Airbyte, transformation via dbt, BI via Looker/Lightdash/Metabase) and now compete with lakehouse alternatives (Databricks, Trino + Iceberg).

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