Heap to Yellowfin Integration
AI-first ETL from Heap into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heap into Yellowfin
Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties 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
Heap: Autocaptured product analytics and funnels.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Heap entities map to Yellowfin
| Heap entity | Yellowfin object | Notes |
|---|---|---|
| events | heap_events | date/time dimensions events |
| users | heap_users | id PK · linked to heap_events |
| sessions | heap_sessions | id PK · linked to heap_events |
| funnels | heap_funnels | id PK · linked to heap_events |
FAQ
How does Datrise handle Heap'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 Heap to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Heap
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