Kommo → ClickHouse
AI-first ETL from Kommo into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into ClickHouse
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Kommo entities map to ClickHouse
| Kommo entity | ClickHouse object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | DateTime64 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Kommo to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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