DatriseAI-first ETL

HighLevel Azure Synapse

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

How Datrise loads HighLevel into Azure Synapse

Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How HighLevel entities map to Azure Synapse

HighLevel entityAzure Synapse objectNotes
agency CRM recordshighlevel_agency_crm_recordsid PK · custom fields → NVARCHAR(MAX) 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the HighLevel to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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