DatriseAI-first ETL

HubSpot Operations Hub PlanetScale

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

How Datrise loads HubSpot Operations Hub into PlanetScale

Datrise syncs HubSpot Operations 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 Operations Hub: CRM for SMB teams managing pipeline, contacts, and customer activity.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How HubSpot Operations Hub entities map to PlanetScale

HubSpot Operations Hub entityPlanetScale objectNotes
contactshubspot_operations_contactsid PK · custom fields → JSON columns
accountshubspot_operations_accountsid PK · linked to hubspot_operations_contacts
dealshubspot_operations_dealsid PK · linked to hubspot_operations_contacts
activitieshubspot_operations_activitiesDATETIME events

FAQ

How does Datrise handle HubSpot Operations 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 Operations 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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