DatriseAI-first ETL

Flexport to Birst Integration

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

How Datrise loads Flexport into Birst

Datrise syncs Flexport's shipments, containers, bookings, invoices, milestones, and products into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Flexport: Freight forwarding and supply chain visibility.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Flexport entities map to Birst

Flexport entityBirst objectNotes
shipmentsflexport_shipmentsid PK · custom fields → flattened 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 Birst?

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

How does the Flexport to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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