DatriseAI-first ETL

Onfleet to Birst Integration

AI-first ETL from Onfleet into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Onfleet into Birst

Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Onfleet: Last-mile delivery dispatch and driver tracking.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Onfleet entities map to Birst

Onfleet entityBirst objectNotes
tasksonfleet_tasksid PK · custom fields → flattened columns
workersonfleet_workersid PK · linked to onfleet_tasks
teamsonfleet_teamsid PK · linked to onfleet_tasks
destinationsonfleet_destinationsid PK · linked to onfleet_tasks

FAQ

How does Datrise handle Onfleet's custom fields in Birst?

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 Birst types.

How does the Onfleet to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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