DatriseAI-first ETL

Pendo MicroStrategy

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

How Datrise loads Pendo into MicroStrategy

Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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

Pendo: Product analytics and in-app guidance for SaaS teams.

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

How Pendo entities map to MicroStrategy

Pendo entityMicroStrategy objectNotes
eventspendo_eventsdate/time dimensions events
guidespendo_guidesid PK · linked to pendo_events
NPSpendo_npsid PK · linked to pendo_events
feature adoptionpendo_feature_adoptionid PK · linked to pendo_events

FAQ

How does Datrise handle Pendo'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 Pendo to MicroStrategy sync stay up to date?

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

Related pipelines

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