DatriseAI-first ETL

Omie CRM to Microsoft SQL Server Integration

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

How Datrise loads Omie CRM into Microsoft SQL Server

Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable 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

Omie CRM: Brazilian ERP and CRM for SMB sales and finance.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Omie CRM entities map to Microsoft SQL Server

Omie CRM entityMicrosoft SQL Server objectNotes
clientsomie_clientsid PK · custom fields → NVARCHAR(MAX) JSON columns
opportunitiesomie_opportunitiesid PK · linked to omie_clients
sales ordersomie_sales_ordersid PK · linked to omie_clients
invoicesomie_invoicesid PK · linked to omie_clients

FAQ

How does Datrise handle Omie CRM'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 Omie CRM 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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