MoEngage → ClickHouse
AI-first ETL from MoEngage into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into ClickHouse
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
ClickHouse: Columnar OLAP engine for fast aggregations.
How MoEngage entities map to ClickHouse
| MoEngage entity | ClickHouse object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | DateTime64 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the MoEngage to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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