MoEngage → Neon
AI-first ETL from MoEngage into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Neon
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Neon: Serverless Postgres destination with branching and autoscaling.
How MoEngage entities map to Neon
| MoEngage entity | Neon object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | timestamptz 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 Neon?
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 Neon types.
How does the MoEngage to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for MoEngage
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