DatriseAI-first ETL

Bitrix24 Microsoft SQL Server

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

How Datrise loads Bitrix24 into Microsoft SQL Server

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Bitrix24 entities map to Microsoft SQL Server

Bitrix24 entityMicrosoft SQL Server objectNotes
leadsbitrix24_leadsid PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Bitrix24 to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

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