HighLevel → Microsoft SQL Server
AI-first ETL from HighLevel into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads HighLevel into Microsoft SQL Server
Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How HighLevel entities map to Microsoft SQL Server
| HighLevel entity | Microsoft SQL Server object | Notes |
|---|---|---|
| agency CRM records | highlevel_agency_crm_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| 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 Microsoft SQL Server?
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 Microsoft SQL Server types.
How does the HighLevel to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
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