Gridly to PlanetScale Integration
AI-first ETL from Gridly into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gridly into PlanetScale
Datrise syncs Gridly's grids, records, columns, languages, views, and translation statuses 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
Gridly: Localization and content grids for games and apps.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Gridly entities map to PlanetScale
| Gridly entity | PlanetScale object | Notes |
|---|---|---|
| grids | gridly_grids | id PK · custom fields → JSON columns |
| records | gridly_records | id PK · linked to gridly_grids |
| columns | gridly_columns | id PK · linked to gridly_grids |
| languages | gridly_languages | id PK · linked to gridly_grids |
FAQ
How does Datrise handle Gridly'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 Gridly 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
More destinations for Gridly
Early access
Connect Gridly to PlanetScale the easy way
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