DatriseAI-first ETL

Salesforce Marketing Cloud Redash

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

How Datrise loads Salesforce Marketing Cloud into Redash

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

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Salesforce Marketing Cloud entities map to Redash

Salesforce Marketing Cloud entityRedash objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

Early access

Connect Salesforce Marketing Cloud to Redash the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.