DatriseAI-first ETL

Localytics to Holistics Integration

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

How Datrise loads Localytics into Holistics

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Localytics: Mobile app analytics and push engagement.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Localytics entities map to Holistics

Localytics entityHolistics objectNotes
sessionslocalytics_sessionsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Localytics to Holistics sync stay up to date?

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

Related pipelines

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