Amplitude → Tableau
AI-first ETL from Amplitude into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Tableau
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Amplitude entities map to Tableau
| Amplitude entity | Tableau object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/datetime 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Amplitude to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Amplitude
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