MoEngage → Microsoft SQL Server
AI-first ETL from MoEngage into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Microsoft SQL Server
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How MoEngage entities map to Microsoft SQL Server
| MoEngage entity | Microsoft SQL Server object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | datetime2 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the MoEngage to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
Connect MoEngage to Microsoft SQL Server the easy way
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