PCRecruiter → Redash
AI-first ETL from PCRecruiter into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads PCRecruiter into Redash
Datrise syncs PCRecruiter's contacts, accounts, deals, activities, and lifecycle events 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
PCRecruiter: Recruiting CRM/ATS for candidates, pipelines, and placements.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How PCRecruiter entities map to Redash
| PCRecruiter entity | Redash object | Notes |
|---|---|---|
| contacts | pcrecruiter_contacts | id PK · custom fields → flattened columns for query results |
| accounts | pcrecruiter_accounts | id PK · linked to pcrecruiter_contacts |
| deals | pcrecruiter_deals | id PK · linked to pcrecruiter_contacts |
| activities | pcrecruiter_activities | temporal columns events |
FAQ
How does Datrise handle PCRecruiter'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 PCRecruiter to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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