DatriseAI-first ETL

Localytics to MicroStrategy Integration

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

How Datrise loads Localytics into MicroStrategy

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Localytics: Mobile app analytics and push engagement.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Localytics entities map to MicroStrategy

Localytics entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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