DatriseAI-first ETL

Bullhorn to Redash Integration

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

How Datrise loads Bullhorn into Redash

Datrise syncs Bullhorn's candidates, job orders, submissions, placements, client corporations, and notes into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Bullhorn entities map to Redash

Bullhorn entityRedash objectNotes
candidatesbullhorn_candidatesid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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