DatriseAI-first ETL

Flexport to Domo Integration

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

How Datrise loads Flexport into Domo

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

Flexport: Freight forwarding and supply chain visibility.

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

How Flexport entities map to Domo

Flexport entityDomo objectNotes
shipmentsflexport_shipmentsid PK · custom fields → flattened columns for Magic ETL
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 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 Flexport 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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