DatriseAI-first ETL

Dolibarr to Qlik Integration

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

How Datrise loads Dolibarr into Qlik

Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions 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

Dolibarr: Open-source ERP and CRM for small organizations.

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

How Dolibarr entities map to Qlik

Dolibarr entityQlik objectNotes
third partiesdolibarr_third_partiesid PK · custom fields → flattened columns for the data model
proposalsdolibarr_proposalsid PK · linked to dolibarr_third_parties
ordersdolibarr_ordersid PK · linked to dolibarr_third_parties
invoicesdolibarr_invoicesid PK · linked to dolibarr_third_parties

FAQ

How does Datrise handle Dolibarr'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 Dolibarr 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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