Vincere to PlanetScale Integration
AI-first ETL from Vincere into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincere into PlanetScale
Datrise syncs Vincere's candidates, jobs, contacts, companies, placements, and activity timelines 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
Vincere: Recruitment operating system for agency delivery teams.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Vincere entities map to PlanetScale
| Vincere entity | PlanetScale object | Notes |
|---|---|---|
| candidates | vincere_candidates | id PK · custom fields → JSON columns |
| jobs | vincere_jobs | id PK · linked to vincere_candidates |
| contacts | vincere_contacts | id PK · linked to vincere_candidates |
| companies | vincere_companies | id PK · linked to vincere_candidates |
FAQ
How does Datrise handle Vincere'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 Vincere 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
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