HighLevel → Yellowfin
AI-first ETL from HighLevel into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads HighLevel into Yellowfin
Datrise syncs HighLevel's agency CRM records, funnels, opportunities, and messaging workflows into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
HighLevel: Agency-focused CRM for leads, funnels, and customer messaging.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How HighLevel entities map to Yellowfin
| HighLevel entity | Yellowfin object | Notes |
|---|---|---|
| agency CRM records | highlevel_agency_crm_records | id PK · custom fields → flattened 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 Yellowfin?
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 Yellowfin types.
How does the HighLevel to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for HighLevel
- HighLevel → PostgreSQL
- 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
Early access
Connect HighLevel to Yellowfin the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.