HighLevel → Snowflake
AI-first ETL from HighLevel into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads HighLevel into Snowflake
Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.
Snowflake: Cloud data warehouse with separated compute and storage.
How HighLevel entities map to Snowflake
| HighLevel entity | Snowflake object | Notes |
|---|---|---|
| agency CRM records | highlevel_agency_crm_records | id PK · custom fields → VARIANT 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the HighLevel to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for HighLevel
- HighLevel → Google BigQuery
- HighLevel → Amazon Redshift
- HighLevel → Databricks SQL Warehouse
- HighLevel → ClickHouse
- HighLevel → DuckDB
- HighLevel → Amazon Athena
- HighLevel → Amazon S3 Data Lake
- HighLevel → Azure Data Lake Storage
- HighLevel → Azure Synapse
- HighLevel → Spreadsheets
- HighLevel → Airtable
- HighLevel → CSV Files
Early access
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