DatriseAI-first ETL

MoEngage GoodData

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

How Datrise loads MoEngage into GoodData

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

MoEngage: Customer engagement source for campaigns and retention metrics.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How MoEngage entities map to GoodData

MoEngage entityGoodData objectNotes
engagement eventsmoengage_engagement_eventsdate 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 GoodData?

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 GoodData types.

How does the MoEngage to GoodData sync stay up to date?

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

Related pipelines

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