DatriseAI-first ETL

Totango Birst

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

How Datrise loads Totango into Birst

Datrise syncs Totango's contacts, accounts, deals, activities, and lifecycle events into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Totango entities map to Birst

Totango entityBirst 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 Birst?

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 Birst types.

How does the Totango to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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