Totango to ClickHouse Integration
AI-first ETL from Totango into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Totango into ClickHouse
Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks 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
Totango: Customer journey orchestration for retention teams.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Totango entities map to ClickHouse
| Totango entity | ClickHouse object | Notes |
|---|---|---|
| accounts | totango_accounts | id PK · custom fields → JSON or Map columns |
| users | totango_users | id PK · linked to totango_accounts |
| success plays | totango_success_plays | id PK · linked to totango_accounts |
| health scores | totango_health_scores | id PK · linked to totango_accounts |
FAQ
How does Datrise handle Totango'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 Totango 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.
Related pipelines
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