Kommo → Yellowfin
AI-first ETL from Kommo into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Yellowfin
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Kommo entities map to Yellowfin
| Kommo entity | Yellowfin object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/time dimensions 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 Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Kommo to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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