Onfleet to Chartio Integration
AI-first ETL from Onfleet into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Onfleet into Chartio
Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Onfleet: Last-mile delivery dispatch and driver tracking.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Onfleet entities map to Chartio
| Onfleet entity | Chartio object | Notes |
|---|---|---|
| tasks | onfleet_tasks | id PK · custom fields → flattened columns for visual SQL |
| workers | onfleet_workers | id PK · linked to onfleet_tasks |
| teams | onfleet_teams | id PK · linked to onfleet_tasks |
| destinations | onfleet_destinations | id PK · linked to onfleet_tasks |
FAQ
How does Datrise handle Onfleet's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Onfleet to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Onfleet
Early access
Connect Onfleet to Chartio the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.