DatriseAI-first ETL

MoEngage MicroStrategy

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

How Datrise loads MoEngage into MicroStrategy

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals 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

MoEngage: Customer engagement source for campaigns and retention metrics.

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

How MoEngage entities map to MicroStrategy

MoEngage entityMicroStrategy objectNotes
engagement eventsmoengage_engagement_eventsdate/time dimensions events
campaign performancemoengage_campaign_performanceid PK · linked to moengage_engagement_events
retention behavior signalsmoengage_retention_behavior_signalsid PK · linked to moengage_engagement_events

FAQ

How does Datrise handle MoEngage'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 MoEngage 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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