Snowflake to Google BigQuery Integration
AI-first ETL from Snowflake into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snowflake into Google BigQuery
Datrise syncs Snowflake's databases, schemas, tables, views, query history, and warehouses into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Snowflake: Cloud data platform with separated storage and compute.
Google BigQuery: Serverless analytics warehouse on GCP.
How Snowflake entities map to Google BigQuery
| Snowflake entity | Google BigQuery object | Notes |
|---|---|---|
| databases | snowflake_databases | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| schemas | snowflake_schemas | id PK · linked to snowflake_databases |
| tables | snowflake_tables | id PK · linked to snowflake_databases |
| views | snowflake_views | id PK · linked to snowflake_databases |
FAQ
How does Datrise handle Snowflake's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Snowflake to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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Early access
Connect Snowflake to Google BigQuery the easy way
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