Orbit to PlanetScale Integration
AI-first ETL from Orbit into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Orbit into PlanetScale
Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types 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
Orbit: Community member activity and engagement scoring.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Orbit entities map to PlanetScale
| Orbit entity | PlanetScale object | Notes |
|---|---|---|
| members | orbit_members | id PK · custom fields → JSON columns |
| activities | orbit_activities | DATETIME events |
| organizations | orbit_organizations | id PK · linked to orbit_members |
| love scores | orbit_love_scores | id PK · linked to orbit_members |
FAQ
How does Datrise handle Orbit'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 Orbit 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 Orbit
More sources for PlanetScale
Early access
Connect Orbit to PlanetScale the easy way
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