DatriseAI-first ETL

JobAdder PlanetScale

AI-first ETL from JobAdder into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads JobAdder into PlanetScale

Datrise syncs JobAdder's contacts, accounts, deals, activities, and lifecycle events 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

JobAdder: Recruiting CRM/ATS for candidates, pipelines, and placements.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How JobAdder entities map to PlanetScale

JobAdder entityPlanetScale objectNotes
contactsjobadder_contactsid PK · custom fields → JSON columns
accountsjobadder_accountsid PK · linked to jobadder_contacts
dealsjobadder_dealsid PK · linked to jobadder_contacts
activitiesjobadder_activitiesDATETIME events

FAQ

How does Datrise handle JobAdder'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 JobAdder 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

Early access

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