DatriseAI-first ETL

Bitrix24 Looker Studio

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

How Datrise loads Bitrix24 into Looker Studio

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

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

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Bitrix24 entities map to Looker Studio

Bitrix24 entityLooker Studio objectNotes
leadsbitrix24_leadsid PK · custom fields → flattened columns for chart fields
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 Studio?

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

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

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

Related pipelines

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