DatriseAI-first ETL

Crelate to Metabase Integration

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

How Datrise loads Crelate into Metabase

Datrise syncs Crelate's contacts, jobs, opportunities, activities, workflow stages, and placements 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

Crelate: Recruiting CRM for agency pipelines and candidate sourcing.

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

How Crelate entities map to Metabase

Crelate entityMetabase objectNotes
contactscrelate_contactsid PK · custom fields → flattened columns for the question builder
jobscrelate_jobsid PK · linked to crelate_contacts
opportunitiescrelate_opportunitiesid PK · linked to crelate_contacts
activitiescrelate_activitiestemporal columns for trends events

FAQ

How does Datrise handle Crelate'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 Crelate to Metabase sync stay up to date?

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

Related pipelines

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