Manatal to PlanetScale Integration
AI-first ETL from Manatal into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Manatal into PlanetScale
Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients 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
Manatal: AI recruitment software with candidate scoring.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Manatal entities map to PlanetScale
| Manatal entity | PlanetScale object | Notes |
|---|---|---|
| candidates | manatal_candidates | id PK · custom fields → JSON columns |
| jobs | manatal_jobs | id PK · linked to manatal_candidates |
| applications | manatal_applications | id PK · linked to manatal_candidates |
| pipeline stages | manatal_pipeline_stages | id PK · linked to manatal_candidates |
FAQ
How does Datrise handle Manatal'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 Manatal 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 Manatal to PlanetScale the easy way
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