DatriseAI-first ETL

Hubplanner to PlanetScale Integration

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

How Datrise loads Hubplanner into PlanetScale

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates 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

Hubplanner: Resource planning and utilization for agencies.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Hubplanner entities map to PlanetScale

Hubplanner entityPlanetScale objectNotes
bookingshubplanner_bookingsid PK · custom fields → JSON columns
resourceshubplanner_resourcesid PK · linked to hubplanner_bookings
projectshubplanner_projectsid PK · linked to hubplanner_bookings
clientshubplanner_clientsid PK · linked to hubplanner_bookings

FAQ

How does Datrise handle Hubplanner'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 Hubplanner 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

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