DatriseAI-first ETL

Bullhorn Metabase

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

How Datrise loads Bullhorn into Metabase

Datrise syncs Bullhorn's contacts, accounts, deals, activities, and lifecycle events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Bullhorn: Recruiting CRM/ATS for candidates, pipelines, and placements.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Bullhorn entities map to Metabase

Bullhorn entityMetabase objectNotes
contactsbullhorn_contactsid PK · custom fields → flattened columns for the question builder
accountsbullhorn_accountsid PK · linked to bullhorn_contacts
dealsbullhorn_dealsid PK · linked to bullhorn_contacts
activitiesbullhorn_activitiestemporal columns for trends events

FAQ

How does Datrise handle Bullhorn's custom fields in Metabase?

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

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

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

Related pipelines

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