MoEngage → Spotfire
AI-first ETL from MoEngage into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Spotfire
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How MoEngage entities map to Spotfire
| MoEngage entity | Spotfire object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | date/time 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the MoEngage to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
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