Google Cloud Storage to PostgreSQL Integration

How Datrise loads Google Cloud Storage into PostgreSQL

Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Google Cloud Storage: Object storage for files and data lake exports on GCP.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Google Cloud Storage entities map to PostgreSQL

Google Cloud Storage entity	PostgreSQL object	Notes
buckets	`google_cloud_storage_f_buckets`	id PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Google Cloud Storage to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

More destinations for Google Cloud Storage

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