Google Cloud Storage to Google BigQuery Integration
AI-first ETL from Google Cloud Storage into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into Google BigQuery
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes 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
Google Cloud Storage: Object storage for files and data lake exports on GCP.
Google BigQuery: Serverless analytics warehouse on GCP.
How Google Cloud Storage entities map to Google BigQuery
| Google Cloud Storage entity | Google BigQuery object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| objects | google_cloud_storage_f_objects | id PK · linked to google_cloud_storage_f_buckets |
| prefixes | google_cloud_storage_f_prefixes | id PK · linked to google_cloud_storage_f_buckets |
| object metadata | google_cloud_storage_f_object_metadata | id PK · linked to google_cloud_storage_f_buckets |
FAQ
How does Datrise handle Google Cloud Storage'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 Google Cloud Storage 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
More destinations for Google Cloud Storage
- Google Cloud Storage → Amazon Redshift
- Google Cloud Storage → Databricks SQL Warehouse
- Google Cloud Storage → ClickHouse
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- Google Cloud Storage → Amazon Athena
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- Google Cloud Storage → Azure Data Lake Storage
- Google Cloud Storage → Azure Synapse
- Google Cloud Storage → Spreadsheets
- Google Cloud Storage → Airtable
- Google Cloud Storage → CSV Files
- Google Cloud Storage → MongoDB
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Early access
Connect Google Cloud Storage to Google BigQuery the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.