MoEngage → PlanetScale
AI-first ETL from MoEngage into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into PlanetScale
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How MoEngage entities map to PlanetScale
| MoEngage entity | PlanetScale object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | DATETIME 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the MoEngage to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for MoEngage
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