MoEngage → Redash
AI-first ETL from MoEngage into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Redash
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How MoEngage entities map to Redash
| MoEngage entity | Redash object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | temporal columns 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the MoEngage to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for MoEngage
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