DatriseAI-first ETL

Salesforce Marketing Cloud Mode

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

How Datrise loads Salesforce Marketing Cloud into Mode

Datrise syncs Salesforce Marketing Cloud's records, events, and configuration objects into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Salesforce Marketing Cloud entities map to Mode

Salesforce Marketing Cloud entityMode objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → flattened columns for SQL and notebooks
eventssalesforce_marketing_cloud_eventstemporal columns 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 Mode?

Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.

How does the Salesforce Marketing Cloud to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

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