DatriseAI-first ETL

MoEngage CSV Files

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

How Datrise loads MoEngage into CSV Files

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

MoEngage: Customer engagement source for campaigns and retention metrics.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How MoEngage entities map to CSV Files

MoEngage entityCSV Files objectNotes
engagement eventsmoengage_engagement_eventsISO-8601 timestamp columns 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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the MoEngage to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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