Google Directory to PostgreSQL Integration

How Datrise loads Google Directory into PostgreSQL

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

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

How Google Directory entities map to PostgreSQL

Google Directory entity	PostgreSQL object	Notes
users	`google_directory_users`	id PK · custom fields → jsonb columns
groups	`google_directory_groups`	id PK · linked to google_directory_users
group members	`google_directory_group_members`	id PK · linked to google_directory_users
organizational units	`google_directory_organizational_units`	id PK · linked to google_directory_users

FAQ

How does Datrise handle Google Directory'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 Directory 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

Early access

Connect Google Directory to PostgreSQL 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.