Vtiger → Azure Synapse
AI-first ETL from Vtiger into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vtiger into Azure Synapse
Datrise syncs Vtiger's sales, support, and lifecycle workflows in a unified CRM model 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
Vtiger: Unified CRM for sales, help desk, and customer lifecycle workflows.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Vtiger entities map to Azure Synapse
| Vtiger entity | Azure Synapse object | Notes |
|---|---|---|
| sales | vtiger_sales | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| support | vtiger_support | id PK · linked to vtiger_sales |
| lifecycle workflows in a unified CRM model | vtiger_lifecycle_workflows_in_a_unified_crm_model | id PK · linked to vtiger_sales |
FAQ
How does Datrise handle Vtiger'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 Vtiger to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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