DatriseAI-first ETL

Workday RaaS to PostgreSQL Integration

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

How Datrise loads Workday RaaS into PostgreSQL

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Workday RaaS entities map to PostgreSQL

Workday RaaS entityPostgreSQL objectNotes
workersworkday_raas_workersid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Workday RaaS to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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