Vtiger → Redash
AI-first ETL from Vtiger into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vtiger into Redash
Datrise syncs Vtiger's sales, support, and lifecycle workflows in a unified CRM model into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Vtiger: Unified CRM for sales, help desk, and customer lifecycle workflows.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Vtiger entities map to Redash
| Vtiger entity | Redash object | Notes |
|---|---|---|
| sales | vtiger_sales | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Vtiger to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Vtiger
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