BambooHR → Domo
AI-first ETL from BambooHR into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads BambooHR into Domo
Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
BambooHR: HRIS source for employee records and workforce analytics.
Domo: Cloud BI platform combining data integration and executive dashboards.
How BambooHR entities map to Domo
| BambooHR entity | Domo object | Notes |
|---|---|---|
| employee records | bamboohr_employee_records | id PK · custom fields → flattened columns for Magic ETL |
| org structure | bamboohr_org_structure | id PK · linked to bamboohr_employee_records |
| lifecycle events | bamboohr_lifecycle_events | date/time columns events |
| workforce attributes | bamboohr_workforce_attributes | id PK · linked to bamboohr_employee_records |
FAQ
How does Datrise handle BambooHR's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the BambooHR to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for BambooHR
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