Heap to Birst Integration
AI-first ETL from Heap into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heap into Birst
Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Heap: Autocaptured product analytics and funnels.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Heap entities map to Birst
| Heap entity | Birst 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 Birst?
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 Birst types.
How does the Heap to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Heap
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