DatriseAI-first ETL

Zenefits to PlanetScale Integration

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

How Datrise loads Zenefits into PlanetScale

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records 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

Zenefits: HR, benefits, and payroll administration.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zenefits entities map to PlanetScale

Zenefits entityPlanetScale objectNotes
employeeszenefits_employeesid PK · custom fields → JSON columns
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

How does Datrise handle Zenefits'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 Zenefits 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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