Salesforce Commerce Cloud → Azure Data Lake Storage
AI-first ETL from Salesforce Commerce Cloud into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Commerce Cloud into Azure Data Lake Storage
Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events 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 Commerce Cloud: Enterprise CRM for complex sales, service, and revenue operations.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Salesforce Commerce Cloud entities map to Azure Data Lake Storage
| Salesforce Commerce Cloud entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| contacts | salesforce_commerce_cloud_contacts | id PK · custom fields → nested struct/map fields in Parquet |
| accounts | salesforce_commerce_cloud_accounts | id PK · linked to salesforce_commerce_cloud_contacts |
| deals | salesforce_commerce_cloud_deals | id PK · linked to salesforce_commerce_cloud_contacts |
| activities | salesforce_commerce_cloud_activities | ISO-8601 timestamp columns events |
FAQ
How does Datrise handle Salesforce Commerce 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 Commerce 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 Commerce Cloud
- Salesforce Commerce Cloud → Azure Synapse
- Salesforce Commerce Cloud → Spreadsheets
- Salesforce Commerce Cloud → Airtable
- Salesforce Commerce Cloud → CSV Files
- Salesforce Commerce Cloud → MongoDB
- Salesforce Commerce Cloud → Supabase
- Salesforce Commerce Cloud → Neon
- Salesforce Commerce Cloud → PlanetScale
- Salesforce Commerce Cloud → Amazon DynamoDB
- Salesforce Commerce Cloud → Looker
- Salesforce Commerce Cloud → Looker Studio
- Salesforce Commerce Cloud → Microsoft Power BI
More sources for Azure Data Lake Storage
- Salesforce Service Cloud → Azure Data Lake Storage
- Less Annoying CRM → Azure Data Lake Storage
- Streak → Azure Data Lake Storage
- Apptivo → Azure Data Lake Storage
- folk → Azure Data Lake Storage
- Clay → Azure Data Lake Storage
- Day.ai → Azure Data Lake Storage
- Twenty CRM → Azure Data Lake Storage
- Maximizer CRM → Azure Data Lake Storage
- Method:CRM → Azure Data Lake Storage
- EngageBay → Azure Data Lake Storage
- Megaplan → Azure Data Lake Storage
Early access
Connect Salesforce Commerce Cloud to Azure Data Lake Storage the easy way
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