Aftership to Qlik Integration

How Datrise loads Aftership into Qlik

Datrise syncs Aftership's shipments, trackings, checkpoints, couriers, delivery statuses, and notifications into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Aftership: Shipment tracking and delivery notifications.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Aftership entities map to Qlik

Aftership entity	Qlik object	Notes
shipments	`aftership_shipments`	id PK · custom fields → flattened columns for the data model
trackings	`aftership_trackings`	id PK · linked to aftership_shipments
checkpoints	`aftership_checkpoints`	id PK · linked to aftership_shipments
couriers	`aftership_couriers`	id PK · linked to aftership_shipments

FAQ

How does Datrise handle Aftership's custom fields in Qlik?

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

How does the Aftership to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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