DatriseAI-first ETL

Heap to MySQL Integration

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

How Datrise loads Heap into MySQL

Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Heap: Autocaptured product analytics and funnels.

MySQL: Widely used OSS relational engine (InnoDB).

How Heap entities map to MySQL

Heap entityMySQL objectNotes
eventsheap_eventsDATETIME/TIMESTAMP 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 MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

How does the Heap to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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