DatriseAI-first ETL

HubSpot Service Hub PlanetScale

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

How Datrise loads HubSpot Service Hub into PlanetScale

Datrise syncs HubSpot Service Hub's contacts, accounts, deals, activities, and lifecycle events 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

HubSpot Service Hub: Customer service platform with ticket and conversation context.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How HubSpot Service Hub entities map to PlanetScale

HubSpot Service Hub entityPlanetScale objectNotes
contactshubspot_service_contactsid PK · custom fields → JSON columns
accountshubspot_service_accountsid PK · linked to hubspot_service_contacts
dealshubspot_service_dealsid PK · linked to hubspot_service_contacts
activitieshubspot_service_activitiesDATETIME events

FAQ

How does Datrise handle HubSpot Service Hub'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 HubSpot Service Hub 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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