Onfleet to Yellowfin Integration
AI-first ETL from Onfleet into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Onfleet into Yellowfin
Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Onfleet: Last-mile delivery dispatch and driver tracking.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Onfleet entities map to Yellowfin
| Onfleet entity | Yellowfin object | Notes |
|---|---|---|
| tasks | onfleet_tasks | id PK · custom fields → flattened columns |
| 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 Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Onfleet to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Onfleet
Early access
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