Bullhorn → Chartio
AI-first ETL from Bullhorn into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bullhorn into Chartio
Datrise syncs Bullhorn's contacts, accounts, deals, activities, and lifecycle events into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Bullhorn: Recruiting CRM/ATS for candidates, pipelines, and placements.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Bullhorn entities map to Chartio
| Bullhorn entity | Chartio object | Notes |
|---|---|---|
| contacts | bullhorn_contacts | id PK · custom fields → flattened columns for visual SQL |
| accounts | bullhorn_accounts | id PK · linked to bullhorn_contacts |
| deals | bullhorn_deals | id PK · linked to bullhorn_contacts |
| activities | bullhorn_activities | temporal columns events |
FAQ
How does Datrise handle Bullhorn's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Bullhorn to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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