DatriseAI-first ETL

Onfleet to PostgreSQL Integration

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

How Datrise loads Onfleet into PostgreSQL

Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Onfleet: Last-mile delivery dispatch and driver tracking.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Onfleet entities map to PostgreSQL

Onfleet entityPostgreSQL objectNotes
tasksonfleet_tasksid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Onfleet to PostgreSQL the easy way

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