Ashby to PlanetScale Integration
AI-first ETL from Ashby into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ashby into PlanetScale
Datrise syncs Ashby's candidates, applications, jobs, interviews, offers, and interview feedback 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
Ashby: Applicant tracking and recruiting analytics.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Ashby entities map to PlanetScale
| Ashby entity | PlanetScale object | Notes |
|---|---|---|
| candidates | ashby_candidates | id PK · custom fields → JSON columns |
| applications | ashby_applications | id PK · linked to ashby_candidates |
| jobs | ashby_jobs | id PK · linked to ashby_candidates |
| interviews | ashby_interviews | id PK · linked to ashby_candidates |
FAQ
How does Datrise handle Ashby'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 Ashby 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 Ashby 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.