DatriseAI-first ETL

Workday Raas Neon

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

How Datrise loads Workday Raas into Neon

Datrise syncs Workday Raas's records, events, and configuration objects 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 Raas: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Workday Raas entities map to Neon

Workday Raas entityNeon objectNotes
recordsworkday_raas_recordsid PK · custom fields → jsonb columns
eventsworkday_raas_eventstimestamptz events
configuration objectsworkday_raas_configuration_objectsid PK · linked to workday_raas_records

FAQ

How does Datrise handle Workday Raas'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 Raas 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

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