DatriseAI-first ETL

HighLevel MicroStrategy

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

How Datrise loads HighLevel into MicroStrategy

Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How HighLevel entities map to MicroStrategy

HighLevel entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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