Salesforce Marketing Cloud to Google BigQuery Integration
AI-first ETL from Salesforce Marketing Cloud into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into Google BigQuery
Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.
Google BigQuery: Serverless analytics warehouse on GCP.
How Salesforce Marketing Cloud entities map to Google BigQuery
| Salesforce Marketing Cloud entity | Google BigQuery object | Notes |
|---|---|---|
| subscribers | salesforce_marketing_cloud_subscribers | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| data extensions | salesforce_marketing_cloud_data_extensions | id PK · linked to salesforce_marketing_cloud_subscribers |
| journeys | salesforce_marketing_cloud_journeys | id PK · linked to salesforce_marketing_cloud_subscribers |
| sends | salesforce_marketing_cloud_sends | id PK · linked to salesforce_marketing_cloud_subscribers |
FAQ
How does Datrise handle Salesforce Marketing Cloud's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Salesforce Marketing Cloud to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Salesforce Marketing Cloud
- Salesforce Marketing Cloud → Amazon Redshift
- Salesforce Marketing Cloud → Databricks SQL Warehouse
- Salesforce Marketing Cloud → ClickHouse
- Salesforce Marketing Cloud → DuckDB
- Salesforce Marketing Cloud → Amazon Athena
- Salesforce Marketing Cloud → Amazon S3 Data Lake
- Salesforce Marketing Cloud → Azure Data Lake Storage
- Salesforce Marketing Cloud → Azure Synapse
- Salesforce Marketing Cloud → Spreadsheets
- Salesforce Marketing Cloud → Airtable
- Salesforce Marketing Cloud → CSV Files
- Salesforce Marketing Cloud → MongoDB
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Early access
Connect Salesforce Marketing Cloud to Google BigQuery the easy way
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