Google Cloud Storage to PlanetScale Integration

AI-first ETL from Google Cloud Storage into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Cloud Storage into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Cloud Storage entities map to PlanetScale

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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