Bullhorn to Microsoft SQL Server Integration
AI-first ETL from Bullhorn into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bullhorn into Microsoft SQL Server
Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Bullhorn: Staffing CRM covering candidates, clients, and placements.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Bullhorn entities map to Microsoft SQL Server
| Bullhorn entity | Microsoft SQL Server object | Notes |
|---|---|---|
| candidates | bullhorn_candidates | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Bullhorn to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
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Early access
Connect Bullhorn to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.