DatriseAI-first ETL

Salesforce Commerce Cloud Amazon Athena

AI-first ETL from Salesforce Commerce Cloud into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Commerce Cloud into Amazon Athena

Datrise syncs Salesforce Commerce Cloud's contacts, accounts, deals, activities, and lifecycle events into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Salesforce Commerce Cloud: Enterprise CRM for complex sales, service, and revenue operations.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Salesforce Commerce Cloud entities map to Amazon Athena

Salesforce Commerce Cloud entityAmazon Athena objectNotes
contactssalesforce_commerce_cloud_contactsid PK · custom fields → struct/map columns in Parquet
accountssalesforce_commerce_cloud_accountsid PK · linked to salesforce_commerce_cloud_contacts
dealssalesforce_commerce_cloud_dealsid PK · linked to salesforce_commerce_cloud_contacts
activitiessalesforce_commerce_cloud_activitiestimestamp events

FAQ

How does Datrise handle Salesforce Commerce Cloud's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Salesforce Commerce Cloud to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

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