DatriseAI-first ETL

Onfleet to Holistics Integration

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

How Datrise loads Onfleet into Holistics

Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Onfleet: Last-mile delivery dispatch and driver tracking.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Onfleet entities map to Holistics

Onfleet entityHolistics objectNotes
tasksonfleet_tasksid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

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

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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