Google Cloud Storage to CSV Files Integration
AI-first ETL from Google Cloud Storage into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into CSV Files
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.
Ideal for portable hand-off into any tool that ingests delimited files.
Endpoints
Google Cloud Storage: Object storage for files and data lake exports on GCP.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Google Cloud Storage entities map to CSV Files
| Google Cloud Storage entity | CSV Files object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → JSON-encoded strings for nested fields |
| 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 CSV Files?
Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.
How does the Google Cloud Storage to CSV Files sync stay up to date?
It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.
Related pipelines
More destinations for Google Cloud Storage
- Google Cloud Storage → MongoDB
- Google Cloud Storage → Supabase
- Google Cloud Storage → Neon
- Google Cloud Storage → PlanetScale
- Google Cloud Storage → Amazon DynamoDB
- Google Cloud Storage → Looker
- Google Cloud Storage → Looker Studio
- Google Cloud Storage → Microsoft Power BI
- Google Cloud Storage → Tableau
- Google Cloud Storage → Apache Superset
- Google Cloud Storage → Metabase
- Google Cloud Storage → Amazon QuickSight
More sources for CSV Files
Early access
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