Bitrix24 → Sisense
AI-first ETL from Bitrix24 into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bitrix24 into Sisense
Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events 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
Bitrix24: CRM, contact center, and task automation suite.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Bitrix24 entities map to Sisense
| Bitrix24 entity | Sisense object | Notes |
|---|---|---|
| leads | bitrix24_leads | id PK · custom fields → flattened columns for the cube |
| deals | bitrix24_deals | id PK · linked to bitrix24_leads |
| contacts | bitrix24_contacts | id PK · linked to bitrix24_leads |
| companies | bitrix24_companies | id PK · linked to bitrix24_leads |
FAQ
How does Datrise handle Bitrix24'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 Bitrix24 to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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