DatriseAI-first ETL

Bullhorn to Apache Superset Integration

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

How Datrise loads Bullhorn into Apache Superset

Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

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

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Bullhorn entities map to Apache Superset

Bullhorn entityApache Superset objectNotes
candidatesbullhorn_candidatesid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the Bullhorn to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

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