Amplitude → Redash
AI-first ETL from Amplitude into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Redash
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Amplitude entities map to Redash
| Amplitude entity | Redash object | Notes |
|---|---|---|
| product events | amplitude_product_events | temporal columns events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Amplitude
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