DatriseAI-first ETL

Salesforce Marketing Cloud ClickHouse

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

How Datrise loads Salesforce Marketing Cloud into ClickHouse

Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects 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

Salesforce Marketing Cloud: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Salesforce Marketing Cloud entities map to ClickHouse

Salesforce Marketing Cloud entityClickHouse objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → JSON or Map columns
eventssalesforce_marketing_cloud_eventsDateTime64 events
configuration objectssalesforce_marketing_cloud_configuration_objectsid PK · linked to salesforce_marketing_cloud_records

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Salesforce Marketing Cloud 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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