Selligent to PlanetScale Integration
AI-first ETL from Selligent into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into PlanetScale
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers 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
Selligent: Enterprise cross-channel campaigns with real-time triggers.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Selligent entities map to PlanetScale
| Selligent entity | PlanetScale object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → JSON columns |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | DATETIME events |
FAQ
How does Datrise handle Selligent'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 Selligent to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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