DatriseAI-first ETL

Recruitee to Apache Superset Integration

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

How Datrise loads Recruitee into Apache Superset

Datrise syncs Recruitee's candidates, offers, jobs, interviews, pipeline stages, and evaluations 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

Recruitee: Collaborative hiring and candidate pipelines.

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

How Recruitee entities map to Apache Superset

Recruitee entityApache Superset objectNotes
candidatesrecruitee_candidatesid PK · custom fields → flattened columns for the explore UI
offersrecruitee_offersid PK · linked to recruitee_candidates
jobsrecruitee_jobsid PK · linked to recruitee_candidates
interviewsrecruitee_interviewsid PK · linked to recruitee_candidates

FAQ

How does Datrise handle Recruitee'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 Recruitee to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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