ChartMogul to ClickHouse Integration
AI-first ETL from ChartMogul into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads ChartMogul into ClickHouse
Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events 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
ChartMogul: Subscription analytics and revenue reporting.
ClickHouse: Columnar OLAP engine for fast aggregations.
How ChartMogul entities map to ClickHouse
| ChartMogul entity | ClickHouse object | Notes |
|---|---|---|
| customers | chartmogul_customers | id PK · custom fields → JSON or Map columns |
| subscriptions | chartmogul_subscriptions | id PK · linked to chartmogul_customers |
| invoices | chartmogul_invoices | id PK · linked to chartmogul_customers |
| MRR movements | chartmogul_mrr_movements | DateTime64 events |
FAQ
How does Datrise handle ChartMogul'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 ChartMogul 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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