Senseforce to Qlik Integration

How Datrise loads Senseforce into Qlik

Datrise syncs Senseforce's assets, sensor readings, events, machines, time series values, and alarms 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

Senseforce: Industrial IoT machine telemetry and analytics.

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

How Senseforce entities map to Qlik

Senseforce entity	Qlik object	Notes
assets	`senseforce_assets`	id PK · custom fields → flattened columns for the data model
sensor readings	`senseforce_sensor_readings`	id PK · linked to senseforce_assets
events	`senseforce_events`	date/time fields events
machines	`senseforce_machines`	id PK · linked to senseforce_assets

FAQ

How does Datrise handle Senseforce'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 Senseforce 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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