DatriseAI-first ETL

RD Station CRM Azure Synapse

AI-first ETL from RD Station CRM into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into Azure Synapse

Datrise syncs RD Station CRM's contacts, accounts, deals, activities, and lifecycle events into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How RD Station CRM entities map to Azure Synapse

RD Station CRM entityAzure Synapse 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 Azure Synapse?

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 Azure Synapse types.

How does the RD Station CRM to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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