DatriseAI-first ETL

Zenefits to Spotfire Integration

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

How Datrise loads Zenefits into Spotfire

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Zenefits: HR, benefits, and payroll administration.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Zenefits entities map to Spotfire

Zenefits entitySpotfire objectNotes
employeeszenefits_employeesid PK · custom fields → flattened columns for visualizations
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 Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the Zenefits to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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