Amplitude → Looker Studio
AI-first ETL from Amplitude into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Looker Studio
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Amplitude entities map to Looker Studio
| Amplitude entity | Looker Studio object | Notes |
|---|---|---|
| product events | amplitude_product_events | date dimension 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 Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Amplitude to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Amplitude
More sources for Looker Studio
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