HubSpot CRM → PlanetScale
AI-first ETL from HubSpot CRM into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into PlanetScale
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement 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 CRM: Inbound CRM with marketing, sales, and service hubs.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How HubSpot CRM entities map to PlanetScale
| HubSpot CRM entity | PlanetScale object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → JSON columns |
| companies | hubspot_companies | id PK · linked to hubspot_contacts |
| deals | hubspot_deals | id PK · linked to hubspot_contacts |
| lifecycle stages | hubspot_lifecycle_stages | id PK · linked to hubspot_contacts |
FAQ
How does Datrise handle HubSpot CRM'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 CRM 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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