DatriseAI-first ETL

MoEngage PostgreSQL

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

How Datrise loads MoEngage into PostgreSQL

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

MoEngage: Customer engagement source for campaigns and retention metrics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How MoEngage entities map to PostgreSQL

MoEngage entityPostgreSQL objectNotes
engagement eventsmoengage_engagement_eventstimestamptz 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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