DatriseAI-first ETL

Amplitude Yellowfin

AI-first ETL from Amplitude into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Amplitude into Yellowfin

Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Amplitude: Product analytics source for events, funnels, and cohorts.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Amplitude entities map to Yellowfin

Amplitude entityYellowfin objectNotes
product eventsamplitude_product_eventsdate/time dimensions events
user propertiesamplitude_user_propertiesid PK · linked to amplitude_product_events
funnelsamplitude_funnelsid PK · linked to amplitude_product_events
cohortsamplitude_cohortsid PK · linked to amplitude_product_events

FAQ

How does Datrise handle Amplitude's custom fields in Yellowfin?

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 Yellowfin types.

How does the Amplitude to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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