DatriseAI-first ETL

SAP Fieldglass to Metabase Integration

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

How Datrise loads SAP Fieldglass into Metabase

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How SAP Fieldglass entities map to Metabase

SAP Fieldglass entityMetabase objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

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

Related pipelines

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