DatriseAI-first ETL

Salesforce Holistics

AI-first ETL from Salesforce into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce into Holistics

Datrise syncs Salesforce's accounts, opportunities, contacts, tasks, and pipeline stage history into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Salesforce: Enterprise CRM and Customer 360 platform.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Salesforce entities map to Holistics

Salesforce entityHolistics objectNotes
accountssalesforce_accountsid PK · custom fields → flattened columns for the modeling layer
opportunitiessalesforce_opportunitiesid PK · linked to salesforce_accounts
contactssalesforce_contactsid PK · linked to salesforce_accounts
taskssalesforce_tasksid PK · linked to salesforce_accounts

FAQ

How does Datrise handle Salesforce's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Salesforce to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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