DatriseAI-first ETL

SAP Fieldglass to Domo Integration

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

How Datrise loads SAP Fieldglass into Domo

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Domo: Cloud BI platform combining data integration and executive dashboards.

How SAP Fieldglass entities map to Domo

SAP Fieldglass entityDomo objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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