MoEngage → ThoughtSpot
AI-first ETL from MoEngage into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into ThoughtSpot
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How MoEngage entities map to ThoughtSpot
| MoEngage entity | ThoughtSpot 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the MoEngage to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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