DatriseAI-first ETL

Zenefits to Redash Integration

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

How Datrise loads Zenefits into Redash

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records 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

Zenefits: HR, benefits, and payroll administration.

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

How Zenefits entities map to Redash

Zenefits entityRedash objectNotes
employeeszenefits_employeesid PK · custom fields → flattened columns for query results
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

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

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

Related pipelines

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