MoEngage → Domo
AI-first ETL from MoEngage into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Domo
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Domo: Cloud BI platform combining data integration and executive dashboards.
How MoEngage entities map to Domo
| MoEngage entity | Domo object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | date/time columns events |
| campaign performance | moengage_campaign_performance | id PK · linked to moengage_engagement_events |
| retention behavior signals | moengage_retention_behavior_signals | id PK · linked to moengage_engagement_events |
FAQ
How does Datrise handle MoEngage's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the MoEngage to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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