DatriseAI-first ETL

SugarCRM Azure Data Lake Storage

AI-first ETL from SugarCRM into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.

How Datrise loads SugarCRM into Azure Data Lake Storage

Datrise syncs SugarCRM's enterprise account, opportunity, and customer-service intelligence data 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

SugarCRM: Enterprise CRM platform for sales, service, and account intelligence.

Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.

How SugarCRM entities map to Azure Data Lake Storage

SugarCRM entityAzure Data Lake Storage objectNotes
enterprise accountsugarcrm_enterprise_accountid PK · custom fields → nested struct/map fields in Parquet
opportunitysugarcrm_opportunityid PK · linked to sugarcrm_enterprise_account
customer-service intelligence datasugarcrm_customer_service_intelligence_dataid PK · linked to sugarcrm_enterprise_account

FAQ

How does Datrise handle SugarCRM'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 SugarCRM 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

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