BambooHR → MongoDB
AI-first ETL from BambooHR into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads BambooHR into MongoDB
Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes 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
BambooHR: HRIS source for employee records and workforce analytics.
MongoDB: Document database for flexible schemas.
How BambooHR entities map to MongoDB
| BambooHR entity | MongoDB object | Notes |
|---|---|---|
| employee records | bamboohr_employee_records | id PK · custom fields → native nested documents |
| org structure | bamboohr_org_structure | id PK · linked to bamboohr_employee_records |
| lifecycle events | bamboohr_lifecycle_events | BSON Date events |
| workforce attributes | bamboohr_workforce_attributes | id PK · linked to bamboohr_employee_records |
FAQ
How does Datrise handle BambooHR'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 BambooHR to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
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