Onesignal → PlanetScale
AI-first ETL from Onesignal into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Onesignal into PlanetScale
Datrise syncs Onesignal's records, events, and configuration objects 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
Onesignal: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Onesignal entities map to PlanetScale
| Onesignal entity | PlanetScale object | Notes |
|---|---|---|
| records | onesignal_records | id PK · custom fields → JSON columns |
| events | onesignal_events | DATETIME events |
| configuration objects | onesignal_configuration_objects | id PK · linked to onesignal_records |
FAQ
How does Datrise handle Onesignal'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 Onesignal 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 Onesignal
Early access
Connect Onesignal 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.