Vtiger → CSV Files
AI-first ETL from Vtiger into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vtiger into CSV Files
Datrise syncs Vtiger's sales, support, and lifecycle workflows in a unified CRM model into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.
Ideal for portable hand-off into any tool that ingests delimited files.
Endpoints
Vtiger: Unified CRM for sales, help desk, and customer lifecycle workflows.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Vtiger entities map to CSV Files
| Vtiger entity | CSV Files object | Notes |
|---|---|---|
| sales | vtiger_sales | id PK · custom fields → JSON-encoded strings for nested fields |
| 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 CSV Files?
Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.
How does the Vtiger to CSV Files sync stay up to date?
It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.
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