HighLevel → Chartio
AI-first ETL from HighLevel into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads HighLevel into Chartio
Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How HighLevel entities map to Chartio
| HighLevel entity | Chartio object | Notes |
|---|---|---|
| agency CRM records | highlevel_agency_crm_records | id PK · custom fields → flattened columns for visual SQL |
| funnels | highlevel_funnels | id PK · linked to highlevel_agency_crm_records |
| opportunities | highlevel_opportunities | id PK · linked to highlevel_agency_crm_records |
| messaging workflows | highlevel_messaging_workflows | id PK · linked to highlevel_agency_crm_records |
FAQ
How does Datrise handle HighLevel's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the HighLevel to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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