Amplitude → Chartio
AI-first ETL from Amplitude into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Chartio
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Amplitude entities map to Chartio
| Amplitude entity | Chartio 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Amplitude to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Amplitude
Early access
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