DatriseAI-first ETL

Totango Yellowfin

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

How Datrise loads Totango into Yellowfin

Datrise syncs Totango's contacts, accounts, deals, activities, and lifecycle events 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

Totango: Customer success platform for health scores, playbooks, and renewals.

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

How Totango entities map to Yellowfin

Totango entityYellowfin objectNotes
contactstotango_contactsid PK · custom fields → flattened columns
accountstotango_accountsid PK · linked to totango_contacts
dealstotango_dealsid PK · linked to totango_contacts
activitiestotango_activitiesdate/time dimensions events

FAQ

How does Datrise handle Totango'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 Totango 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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