Amplitude → Spotfire
AI-first ETL from Amplitude into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Spotfire
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Amplitude entities map to Spotfire
| Amplitude entity | Spotfire object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the Amplitude to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
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