DatriseAI-first ETL

Pendo Yellowfin

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

How Datrise loads Pendo into Yellowfin

Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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

Pendo: Product analytics and in-app guidance for SaaS teams.

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

How Pendo entities map to Yellowfin

Pendo entityYellowfin objectNotes
eventspendo_eventsdate/time dimensions events
guidespendo_guidesid PK · linked to pendo_events
NPSpendo_npsid PK · linked to pendo_events
feature adoptionpendo_feature_adoptionid PK · linked to pendo_events

FAQ

How does Datrise handle Pendo'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 Pendo 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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