DatriseAI-first ETL

Bullhorn PostgreSQL

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

How Datrise loads Bullhorn into PostgreSQL

Datrise syncs Bullhorn's contacts, accounts, deals, activities, and lifecycle events 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: Recruiting CRM/ATS for candidates, pipelines, and placements.

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

How Bullhorn entities map to PostgreSQL

Bullhorn entityPostgreSQL objectNotes
contactsbullhorn_contactsid PK · custom fields → jsonb columns
accountsbullhorn_accountsid PK · linked to bullhorn_contacts
dealsbullhorn_dealsid PK · linked to bullhorn_contacts
activitiesbullhorn_activitiestimestamptz events

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

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