DatriseAI-first ETL

Salesforce Yellowfin

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

How Datrise loads Salesforce into Yellowfin

Datrise syncs Salesforce's accounts, opportunities, contacts, tasks, and pipeline stage history into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Salesforce: Enterprise CRM and Customer 360 platform.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Salesforce entities map to Yellowfin

Salesforce entityYellowfin objectNotes
accountssalesforce_accountsid PK · custom fields → flattened columns
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 Yellowfin?

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

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

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

Related pipelines

Early access

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