Workday → MongoDB
AI-first ETL from Workday into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday into MongoDB
Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Workday: Enterprise HR and finance source for operational reporting.
MongoDB: Document database for flexible schemas.
How Workday entities map to MongoDB
| Workday entity | MongoDB object | Notes |
|---|---|---|
| HR | workday_hr | id PK · custom fields → native nested documents |
| 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 | BSON Date events |
FAQ
How does Datrise handle Workday's custom fields in MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Workday to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
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