DatriseAI-first ETL

MoEngage MySQL

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

How Datrise loads MoEngage into MySQL

Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

MoEngage: Customer engagement source for campaigns and retention metrics.

MySQL: Widely used OSS relational engine (InnoDB).

How MoEngage entities map to MySQL

MoEngage entityMySQL objectNotes
engagement eventsmoengage_engagement_eventsDATETIME/TIMESTAMP 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 MySQL?

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 MySQL types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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