DatriseAI-first ETL

Recruitee Redash

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

How Datrise loads Recruitee into Redash

Datrise syncs Recruitee's records, events, and configuration objects 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

Recruitee: SaaS or API data source for analytics and warehouse sync.

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

How Recruitee entities map to Redash

Recruitee entityRedash objectNotes
recordsrecruitee_recordsid PK · custom fields → flattened columns for query results
eventsrecruitee_eventstemporal columns events
configuration objectsrecruitee_configuration_objectsid PK · linked to recruitee_records

FAQ

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

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

Related pipelines

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