DatriseAI-first ETL

Bitrix24 ClickHouse

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

How Datrise loads Bitrix24 into ClickHouse

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Bitrix24 entities map to ClickHouse

Bitrix24 entityClickHouse objectNotes
leadsbitrix24_leadsid PK · custom fields → JSON or Map columns
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 ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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