DatriseAI-first ETL

Google Directory to PlanetScale Integration

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

How Datrise loads Google Directory into PlanetScale

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles 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 Directory: Workspace user, group, and device directory.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Directory entities map to PlanetScale

Google Directory entityPlanetScale objectNotes
usersgoogle_directory_usersid PK · custom fields → JSON columns
groupsgoogle_directory_groupsid PK · linked to google_directory_users
group membersgoogle_directory_group_membersid PK · linked to google_directory_users
organizational unitsgoogle_directory_organizational_unitsid PK · linked to google_directory_users

FAQ

How does Datrise handle Google Directory'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 Directory 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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