Bullhorn to Domo Integration
AI-first ETL from Bullhorn into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bullhorn into Domo
Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes 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
Bullhorn: Staffing CRM covering candidates, clients, and placements.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Bullhorn entities map to Domo
| Bullhorn entity | Domo object | Notes |
|---|---|---|
| candidates | bullhorn_candidates | id PK · custom fields → flattened columns for Magic ETL |
| job orders | bullhorn_job_orders | id PK · linked to bullhorn_candidates |
| submissions | bullhorn_submissions | id PK · linked to bullhorn_candidates |
| placements | bullhorn_placements | id PK · linked to bullhorn_candidates |
FAQ
How does Datrise handle Bullhorn'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 Bullhorn to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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