Kommo → PostgreSQL
AI-first ETL from Kommo into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into PostgreSQL
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Kommo entities map to PostgreSQL
| Kommo entity | PostgreSQL object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | timestamptz 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Kommo to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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