DatriseAI-first ETL

Kommo Holistics

AI-first ETL from Kommo into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Kommo into Holistics

Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Kommo entities map to Holistics

Kommo entityHolistics objectNotes
conversational CRM eventskommo_conversational_crm_eventsdate/time dimensions events
chatskommo_chatsid PK · linked to kommo_conversational_crm_events
leadskommo_leadsid PK · linked to kommo_conversational_crm_events
sales automation triggerskommo_sales_automation_triggersid PK · linked to kommo_conversational_crm_events

FAQ

How does Datrise handle Kommo's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Kommo to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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