Omie CRM to Qlik Integration
AI-first ETL from Omie CRM into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Omie CRM into Qlik
Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable 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
Omie CRM: Brazilian ERP and CRM for SMB sales and finance.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Omie CRM entities map to Qlik
| Omie CRM entity | Qlik object | Notes |
|---|---|---|
| clients | omie_clients | id PK · custom fields → flattened columns for the data model |
| opportunities | omie_opportunities | id PK · linked to omie_clients |
| sales orders | omie_sales_orders | id PK · linked to omie_clients |
| invoices | omie_invoices | id PK · linked to omie_clients |
FAQ
How does Datrise handle Omie 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 Omie CRM to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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