DatriseAI-first ETL

RD Station CRM Microsoft SQL Server

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

How Datrise loads RD Station CRM into Microsoft SQL Server

Datrise syncs RD Station CRM's contacts, accounts, deals, activities, and lifecycle 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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How RD Station CRM entities map to Microsoft SQL Server

RD Station CRM entityMicrosoft SQL Server objectNotes
contactsrd_station_crm_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesdatetime2 events

FAQ

How does Datrise handle RD Station 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 RD Station 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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