Kommo → Sisense
AI-first ETL from Kommo into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Sisense
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Kommo entities map to Sisense
| Kommo entity | Sisense object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/time fields 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 Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Kommo to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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