DatriseAI-first ETL

Selligent to Qlik Integration

AI-first ETL from Selligent into Qlik. Governed entities, incremental sync, typed landing tables.

How Datrise loads Selligent into Qlik

Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers 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

Selligent: Enterprise cross-channel campaigns with real-time triggers.

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

How Selligent entities map to Qlik

Selligent entityQlik objectNotes
contactsselligent_contactsid PK · custom fields → flattened columns for the data model
journeysselligent_journeysid PK · linked to selligent_contacts
campaignsselligent_campaignsid PK · linked to selligent_contacts
message eventsselligent_message_eventsdate/time fields events

FAQ

How does Datrise handle Selligent'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 Selligent 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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