SAP Fieldglass to PlanetScale Integration
AI-first ETL from SAP Fieldglass into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP Fieldglass into PlanetScale
Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
SAP Fieldglass: External workforce and contingent labor management.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How SAP Fieldglass entities map to PlanetScale
| SAP Fieldglass entity | PlanetScale object | Notes |
|---|---|---|
| workers | sap_fieldglass_workers | id PK · custom fields → JSON columns |
| job postings | sap_fieldglass_job_postings | id PK · linked to sap_fieldglass_workers |
| work orders | sap_fieldglass_work_orders | id PK · linked to sap_fieldglass_workers |
| time sheets | sap_fieldglass_time_sheets | id PK · linked to sap_fieldglass_workers |
FAQ
How does Datrise handle SAP Fieldglass's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the SAP Fieldglass to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for SAP Fieldglass
- SAP Fieldglass → Amazon DynamoDB
- SAP Fieldglass → Looker
- SAP Fieldglass → Looker Studio
- SAP Fieldglass → Microsoft Power BI
- SAP Fieldglass → Tableau
- SAP Fieldglass → Apache Superset
- SAP Fieldglass → Metabase
- SAP Fieldglass → Amazon QuickSight
- SAP Fieldglass → Domo
- SAP Fieldglass → Sisense
- SAP Fieldglass → ThoughtSpot
- SAP Fieldglass → Qlik
Early access
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