Heap to GoodData Integration
AI-first ETL from Heap into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heap into GoodData
Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Heap: Autocaptured product analytics and funnels.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Heap entities map to GoodData
| Heap entity | GoodData object | Notes |
|---|---|---|
| events | heap_events | date 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 GoodData?
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 GoodData types.
How does the Heap to GoodData 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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