DatriseAI-first ETL

Localytics to Yellowfin Integration

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

How Datrise loads Localytics into Yellowfin

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles 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

Localytics: Mobile app analytics and push engagement.

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

How Localytics entities map to Yellowfin

Localytics entityYellowfin objectNotes
sessionslocalytics_sessionsid PK · custom fields → flattened columns
eventslocalytics_eventsdate/time dimensions events
userslocalytics_usersid PK · linked to localytics_sessions
campaignslocalytics_campaignsid PK · linked to localytics_sessions

FAQ

How does Datrise handle Localytics'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 Localytics to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Localytics to Yellowfin the easy way

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