HighLevel → PostgreSQL
AI-first ETL from HighLevel into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads HighLevel into PostgreSQL
Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How HighLevel entities map to PostgreSQL
| HighLevel entity | PostgreSQL object | Notes |
|---|---|---|
| agency CRM records | highlevel_agency_crm_records | id PK · custom fields → jsonb 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the HighLevel to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for HighLevel
- HighLevel → MySQL
- HighLevel → Microsoft SQL Server
- HighLevel → Oracle Database
- HighLevel → Snowflake
- 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
Early access
Connect HighLevel to PostgreSQL the easy way
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