DatriseAI-first ETL

Bitrix24 Redash

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

How Datrise loads Bitrix24 into Redash

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Bitrix24 entities map to Redash

Bitrix24 entityRedash objectNotes
leadsbitrix24_leadsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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