Bullhorn to PostgreSQL Integration

How Datrise loads Bullhorn into PostgreSQL

Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Bullhorn: Staffing CRM covering candidates, clients, and placements.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Bullhorn entities map to PostgreSQL

Bullhorn entity	PostgreSQL object	Notes
candidates	`bullhorn_candidates`	id PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Bullhorn to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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