DatriseAI-first ETL

SAP Fieldglass to Klipfolio Integration

AI-first ETL from SAP Fieldglass into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads SAP Fieldglass into Klipfolio

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, 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 data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How SAP Fieldglass entities map to Klipfolio

SAP Fieldglass entityKlipfolio objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for Klips
job postingssap_fieldglass_job_postingsid PK · linked to sap_fieldglass_workers
work orderssap_fieldglass_work_ordersid PK · linked to sap_fieldglass_workers
time sheetssap_fieldglass_time_sheetsid PK · linked to sap_fieldglass_workers

FAQ

How does Datrise handle SAP Fieldglass's custom fields in Klipfolio?

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

How does the SAP Fieldglass to Klipfolio sync stay up to date?

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

Related pipelines

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