Vtiger → Neon
AI-first ETL from Vtiger into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vtiger into Neon
Datrise syncs Vtiger's sales, support, and lifecycle workflows in a unified CRM model into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Vtiger: Unified CRM for sales, help desk, and customer lifecycle workflows.
Neon: Serverless Postgres destination with branching and autoscaling.
How Vtiger entities map to Neon
| Vtiger entity | Neon object | Notes |
|---|---|---|
| sales | vtiger_sales | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Vtiger to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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