Workable to PlanetScale Integration
AI-first ETL from Workable into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workable into PlanetScale
Datrise syncs Workable's candidates, jobs, applications, interviews, offers, and pipeline stages 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
Workable: Recruiting pipeline and candidate evaluation.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Workable entities map to PlanetScale
| Workable entity | PlanetScale object | Notes |
|---|---|---|
| candidates | workable_candidates | id PK · custom fields → JSON columns |
| jobs | workable_jobs | id PK · linked to workable_candidates |
| applications | workable_applications | id PK · linked to workable_candidates |
| interviews | workable_interviews | id PK · linked to workable_candidates |
FAQ
How does Datrise handle Workable'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 Workable 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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Early access
Connect Workable to PlanetScale the easy way
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