DatriseAI-first ETL

Onesignal to MicroStrategy Integration

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

How Datrise loads Onesignal into MicroStrategy

Datrise syncs Onesignal's notifications, subscribers, segments, apps, delivery events, and outcomes 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

Onesignal: Push, in-app, and email message delivery.

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

How Onesignal entities map to MicroStrategy

Onesignal entityMicroStrategy objectNotes
notificationsonesignal_notificationsid PK · custom fields → flattened columns
subscribersonesignal_subscribersid PK · linked to onesignal_notifications
segmentsonesignal_segmentsid PK · linked to onesignal_notifications
appsonesignal_appsid PK · linked to onesignal_notifications

FAQ

How does Datrise handle Onesignal'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 Onesignal 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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