Salesforce Marketing Cloud to Azure Data Lake Storage Integration
AI-first ETL from Salesforce Marketing Cloud into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Marketing Cloud into Azure Data Lake Storage
Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Salesforce Marketing Cloud entities map to Azure Data Lake Storage
| Salesforce Marketing Cloud entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| subscribers | salesforce_marketing_cloud_subscribers | id PK · custom fields → nested struct/map fields in Parquet |
| 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 Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Salesforce Marketing Cloud to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Salesforce Marketing Cloud
- Salesforce Marketing Cloud → Azure Synapse
- Salesforce Marketing Cloud → Spreadsheets
- Salesforce Marketing Cloud → Airtable
- Salesforce Marketing Cloud → CSV Files
- Salesforce Marketing Cloud → MongoDB
- Salesforce Marketing Cloud → Supabase
- Salesforce Marketing Cloud → Neon
- Salesforce Marketing Cloud → PlanetScale
- Salesforce Marketing Cloud → Amazon DynamoDB
- Salesforce Marketing Cloud → Looker
- Salesforce Marketing Cloud → Looker Studio
- Salesforce Marketing Cloud → Microsoft Power BI
More sources for Azure Data Lake Storage
- SAP Fieldglass → Azure Data Lake Storage
- Secoda → Azure Data Lake Storage
- Selligent → Azure Data Lake Storage
- SendGrid → Azure Data Lake Storage
- Sendwithus → Azure Data Lake Storage
- Senseforce → Azure Data Lake Storage
- Sentry → Azure Data Lake Storage
- SFTP Bulk → Azure Data Lake Storage
- Shiphero → Azure Data Lake Storage
- Shippo → Azure Data Lake Storage
- Short.io → Azure Data Lake Storage
- Slack → Azure Data Lake Storage
Early access
Connect Salesforce Marketing Cloud to Azure Data Lake Storage the easy way
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