Kommo → Qlik
AI-first ETL from Kommo into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Qlik
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation 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
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Kommo entities map to Qlik
| Kommo entity | Qlik object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/time fields events |
| chats | kommo_chats | id PK · linked to kommo_conversational_crm_events |
| leads | kommo_leads | id PK · linked to kommo_conversational_crm_events |
| sales automation triggers | kommo_sales_automation_triggers | id PK · linked to kommo_conversational_crm_events |
FAQ
How does Datrise handle Kommo'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 Kommo to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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