DatriseAI-first ETL

Creatio Microsoft SQL Server

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

How Datrise loads Creatio into Microsoft SQL Server

Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration 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

Creatio: No-code CRM and process automation platform for enterprise teams.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Creatio entities map to Microsoft SQL Server

Creatio entityMicrosoft SQL Server objectNotes
no-code CRM processescreatio_no_code_crm_processesid PK · custom fields → NVARCHAR(MAX) JSON columns
entitiescreatio_entitiesid PK · linked to creatio_no_code_crm_processes
cross-team workflow orchestrationcreatio_cross_team_workflow_orchestrationid PK · linked to creatio_no_code_crm_processes

FAQ

How does Datrise handle Creatio'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 Creatio 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

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