DatriseAI-first ETL

Holded to Qlik Integration

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

How Datrise loads Holded into Qlik

Datrise syncs Holded's contacts, leads, invoices, estimates, products, and projects 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

Holded: Spanish business suite joining CRM, invoicing, and accounting.

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

How Holded entities map to Qlik

Holded entityQlik objectNotes
contactsholded_contactsid PK · custom fields → flattened columns for the data model
leadsholded_leadsid PK · linked to holded_contacts
invoicesholded_invoicesid PK · linked to holded_contacts
estimatesholded_estimatesid PK · linked to holded_contacts

FAQ

How does Datrise handle Holded'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 Holded 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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