Heap to Redash Integration
AI-first ETL from Heap into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Heap into Redash
Datrise syncs Heap's events, users, sessions, funnels, segments, and user properties into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Heap: Autocaptured product analytics and funnels.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Heap entities map to Redash
| Heap entity | Redash object | Notes |
|---|---|---|
| events | heap_events | temporal columns 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Heap to Redash 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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