DatriseAI-first ETL

Totango MicroStrategy

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

How Datrise loads Totango into MicroStrategy

Datrise syncs Totango's contacts, accounts, deals, activities, and lifecycle events into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Totango entities map to MicroStrategy

Totango entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

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