DatriseAI-first ETL

HighLevel PlanetScale

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

How Datrise loads HighLevel into PlanetScale

Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows 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

HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How HighLevel entities map to PlanetScale

HighLevel entityPlanetScale objectNotes
agency CRM recordshighlevel_agency_crm_recordsid PK · custom fields → JSON columns
funnelshighlevel_funnelsid PK · linked to highlevel_agency_crm_records
opportunitieshighlevel_opportunitiesid PK · linked to highlevel_agency_crm_records
messaging workflowshighlevel_messaging_workflowsid PK · linked to highlevel_agency_crm_records

FAQ

How does Datrise handle HighLevel'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 HighLevel 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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