DatriseAI-first ETL

Kommo Apache Superset

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

How Datrise loads Kommo into Apache Superset

Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

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

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Kommo entities map to Apache Superset

Kommo entityApache Superset objectNotes
conversational CRM eventskommo_conversational_crm_eventstemporal columns for time-series charts 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 Apache Superset?

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

How does the Kommo to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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