Glassfrog to PlanetScale Integration

How Datrise loads Glassfrog into PlanetScale

Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records 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

Glassfrog: Holacracy roles, circles, and governance records.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Glassfrog entities map to PlanetScale

Glassfrog entity	PlanetScale object	Notes
circles	`glassfrog_circles`	id PK · custom fields → JSON columns
roles	`glassfrog_roles`	id PK · linked to glassfrog_circles
people	`glassfrog_people`	id PK · linked to glassfrog_circles
accountabilities	`glassfrog_accountabilities`	id PK · linked to glassfrog_circles

FAQ

How does Datrise handle Glassfrog'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 Glassfrog 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

Connect Glassfrog to PlanetScale 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.