DatriseAI-first ETL

HighLevel Apache Superset

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

How Datrise loads HighLevel into Apache Superset

Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

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

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How HighLevel entities map to Apache Superset

HighLevel entityApache Superset objectNotes
agency CRM recordshighlevel_agency_crm_recordsid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the HighLevel to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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