DatriseAI-first ETL

Onfleet to PlanetScale Integration

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

How Datrise loads Onfleet into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Onfleet: Last-mile delivery dispatch and driver tracking.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Onfleet entities map to PlanetScale

Onfleet entityPlanetScale objectNotes
tasksonfleet_tasksid PK · custom fields → JSON 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 PlanetScale?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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