Workday → PlanetScale
AI-first ETL from Workday into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday into PlanetScale
Datrise syncs Workday's HR, finance entities, organizational structures, and operational 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
Workday: Enterprise HR and finance source for operational reporting.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Workday entities map to PlanetScale
| Workday entity | PlanetScale object | Notes |
|---|---|---|
| HR | workday_hr | id PK · custom fields → JSON columns |
| finance entities | workday_finance_entities | id PK · linked to workday_hr |
| organizational structures | workday_organizational_structures | id PK · linked to workday_hr |
| operational events | workday_operational_events | DATETIME events |
FAQ
How does Datrise handle Workday'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 Workday 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
More destinations for Workday
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