DatriseAI-first ETL

HighLevel GoodData

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

How Datrise loads HighLevel into GoodData

Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How HighLevel entities map to GoodData

HighLevel entityGoodData objectNotes
agency CRM recordshighlevel_agency_crm_recordsid PK · custom fields → flattened 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 GoodData?

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

How does the HighLevel to GoodData sync stay up to date?

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

Related pipelines

Early access

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