DatriseAI-first ETL

Workday RaaS to PlanetScale Integration

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

How Datrise loads Workday RaaS into PlanetScale

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows 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 RaaS: Workday HR reports delivered as a service.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Workday RaaS entities map to PlanetScale

Workday RaaS entityPlanetScale objectNotes
workersworkday_raas_workersid PK · custom fields → JSON columns
organizationsworkday_raas_organizationsid PK · linked to workday_raas_workers
job profilesworkday_raas_job_profilesid PK · linked to workday_raas_workers
compensation recordsworkday_raas_compensation_recordsid PK · linked to workday_raas_workers

FAQ

How does Datrise handle Workday RaaS'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 RaaS 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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