DatriseAI-first ETL

Flexport to Azure Synapse Integration

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

How Datrise loads Flexport into Azure Synapse

Datrise syncs Flexport's shipments, containers, bookings, invoices, milestones, and products into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Flexport: Freight forwarding and supply chain visibility.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Flexport entities map to Azure Synapse

Flexport entityAzure Synapse objectNotes
shipmentsflexport_shipmentsid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Flexport to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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