Amplitude → Amazon QuickSight
AI-first ETL from Amplitude into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Amazon QuickSight
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Amplitude entities map to Amazon QuickSight
| Amplitude entity | Amazon QuickSight object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time fields 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 Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Amplitude to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
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