JobAdder to Redash Integration

How Datrise loads JobAdder into Redash

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview 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

JobAdder: Recruitment platform for job ads, applications, and placements.

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

How JobAdder entities map to Redash

JobAdder entity	Redash object	Notes
candidates	`jobadder_candidates`	id PK · custom fields → flattened columns for query results
jobs	`jobadder_jobs`	id PK · linked to jobadder_candidates
applications	`jobadder_applications`	id PK · linked to jobadder_candidates
placements	`jobadder_placements`	id PK · linked to jobadder_candidates

FAQ

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

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

Related pipelines

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