MoEngage → Mode
AI-first ETL from MoEngage into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Mode
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How MoEngage entities map to Mode
| MoEngage entity | Mode object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | temporal 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the MoEngage to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for MoEngage
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