Odoo CRM → Qlik
AI-first ETL from Odoo CRM into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Odoo CRM into Qlik
Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data 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
Odoo CRM: Modular CRM in the Odoo suite for leads, opportunities, and revenue.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Odoo CRM entities map to Qlik
| Odoo CRM entity | Qlik object | Notes |
|---|---|---|
| modular CRM entities | odoo_crm_modular_crm_entities | id PK · custom fields → flattened columns for the data model |
| opportunities | odoo_crm_opportunities | id PK · linked to odoo_crm_modular_crm_entities |
| revenue process data | odoo_crm_revenue_process_data | id PK · linked to odoo_crm_modular_crm_entities |
FAQ
How does Datrise handle Odoo CRM'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 Odoo CRM to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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