Onfleet to Klipfolio Integration
AI-first ETL from Onfleet into Klipfolio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Onfleet into Klipfolio
Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.
Ideal for real-time KPI dashboards and wallboards.
Endpoints
Onfleet: Last-mile delivery dispatch and driver tracking.
Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.
How Onfleet entities map to Klipfolio
| Onfleet entity | Klipfolio object | Notes |
|---|---|---|
| tasks | onfleet_tasks | id PK · custom fields → flattened columns for Klips |
| 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 Klipfolio?
Flexible values are stored as flattened columns for Klips, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Klipfolio types.
How does the Onfleet to Klipfolio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.
Related pipelines
More destinations for Onfleet
Early access
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