DatriseAI-first ETL

Flexport to Neon Integration

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

How Datrise loads Flexport into Neon

Datrise syncs Flexport's shipments, containers, bookings, invoices, milestones, and products 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

Flexport: Freight forwarding and supply chain visibility.

Neon: Serverless Postgres destination with branching and autoscaling.

How Flexport entities map to Neon

Flexport entityNeon objectNotes
shipmentsflexport_shipmentsid PK · custom fields → jsonb columns
containersflexport_containersid PK · linked to flexport_shipments
bookingsflexport_bookingsid PK · linked to flexport_shipments
invoicesflexport_invoicesid PK · linked to flexport_shipments

FAQ

How does Datrise handle Flexport'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 Flexport 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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