DatriseAI-first ETL

Sap Fieldglass Neon

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

How Datrise loads Sap Fieldglass into Neon

Datrise syncs Sap Fieldglass's records, events, and configuration objects into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Sap Fieldglass: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Sap Fieldglass entities map to Neon

Sap Fieldglass entityNeon objectNotes
recordssap_fieldglass_recordsid PK · custom fields → jsonb columns
eventssap_fieldglass_eventstimestamptz events
configuration objectssap_fieldglass_configuration_objectsid PK · linked to sap_fieldglass_records

FAQ

How does Datrise handle Sap Fieldglass's custom fields in Neon?

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

How does the Sap Fieldglass to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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