DatriseAI-first ETL

Flexport to ClickHouse Integration

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

How Datrise loads Flexport into ClickHouse

Datrise syncs Flexport's shipments, containers, bookings, invoices, milestones, and products into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Flexport: Freight forwarding and supply chain visibility.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Flexport entities map to ClickHouse

Flexport entityClickHouse objectNotes
shipmentsflexport_shipmentsid PK · custom fields → JSON or Map 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 ClickHouse?

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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