Amplitude → Birst
AI-first ETL from Amplitude into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Birst
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Amplitude entities map to Birst
| Amplitude entity | Birst object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time dimensions 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Amplitude to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Amplitude
Early access
Connect Amplitude to Birst the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.