Kommo → Oracle Database
AI-first ETL from Kommo into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Oracle Database
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.
Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Kommo entities map to Oracle Database
| Kommo entity | Oracle Database object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | TIMESTAMP WITH TIME ZONE 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 Oracle Database?
Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.
How does the Kommo to Oracle Database sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.
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Early access
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