DatriseAI-first ETL

Workday Neon

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

How Datrise loads Workday into Neon

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Workday: Enterprise HR and finance source for operational reporting.

Neon: Serverless Postgres destination with branching and autoscaling.

How Workday entities map to Neon

Workday entityNeon objectNotes
HRworkday_hrid PK · custom fields → jsonb columns
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventstimestamptz events

FAQ

How does Datrise handle Workday's custom fields in Neon?

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 Neon types.

How does the Workday to Neon sync stay up to date?

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

Related pipelines

Early access

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