DatriseAI-first ETL

CommCare to ClickHouse Integration

AI-first ETL from CommCare into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads CommCare into ClickHouse

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties 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

CommCare: Mobile data collection for field programs.

ClickHouse: Columnar OLAP engine for fast aggregations.

How CommCare entities map to ClickHouse

CommCare entityClickHouse objectNotes
casescommcare_casesid PK · custom fields → JSON or Map columns
formscommcare_formsid PK · linked to commcare_cases
form submissionscommcare_form_submissionsid PK · linked to commcare_cases
userscommcare_usersid PK · linked to commcare_cases

FAQ

How does Datrise handle CommCare'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 CommCare 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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