DatriseAI-first ETL

Bitrix24 Looker

AI-first ETL from Bitrix24 into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bitrix24 into Looker

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Bitrix24: CRM, contact center, and task automation suite.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Bitrix24 entities map to Looker

Bitrix24 entityLooker objectNotes
leadsbitrix24_leadsid PK · custom fields → flattened columns (nested fields expanded for modeling)
dealsbitrix24_dealsid PK · linked to bitrix24_leads
contactsbitrix24_contactsid PK · linked to bitrix24_leads
companiesbitrix24_companiesid PK · linked to bitrix24_leads

FAQ

How does Datrise handle Bitrix24's custom fields in Looker?

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

How does the Bitrix24 to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

Early access

Connect Bitrix24 to Looker the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.