DatriseAI-first ETL

Heap to PostgreSQL Integration

AI-first ETL from Heap into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Heap into PostgreSQL

Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties 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

Heap: Autocaptured product analytics and funnels.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Heap entities map to PostgreSQL

Heap entityPostgreSQL objectNotes
eventsheap_eventstimestamptz events
usersheap_usersid PK · linked to heap_events
sessionsheap_sessionsid PK · linked to heap_events
funnelsheap_funnelsid PK · linked to heap_events

FAQ

How does Datrise handle Heap'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 Heap 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

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