Bullhorn to PlanetScale Integration
AI-first ETL from Bullhorn into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bullhorn into PlanetScale
Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes 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
Bullhorn: Staffing CRM covering candidates, clients, and placements.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Bullhorn entities map to PlanetScale
| Bullhorn entity | PlanetScale object | Notes |
|---|---|---|
| candidates | bullhorn_candidates | id PK · custom fields → JSON columns |
| job orders | bullhorn_job_orders | id PK · linked to bullhorn_candidates |
| submissions | bullhorn_submissions | id PK · linked to bullhorn_candidates |
| placements | bullhorn_placements | id PK · linked to bullhorn_candidates |
FAQ
How does Datrise handle Bullhorn'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 Bullhorn 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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Early access
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