DatriseAI-first ETL

Bullhorn to Oracle Database Integration

AI-first ETL from Bullhorn into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bullhorn into Oracle Database

Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Bullhorn entities map to Oracle Database

Bullhorn entityOracle Database objectNotes
candidatesbullhorn_candidatesid PK · custom fields → JSON or CLOB columns
job ordersbullhorn_job_ordersid PK · linked to bullhorn_candidates
submissionsbullhorn_submissionsid PK · linked to bullhorn_candidates
placementsbullhorn_placementsid PK · linked to bullhorn_candidates

FAQ

How does Datrise handle Bullhorn's custom fields in Oracle Database?

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

How does the Bullhorn to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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