DatriseAI-first ETL

Hubplanner to MicroStrategy Integration

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

How Datrise loads Hubplanner into MicroStrategy

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates 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

Hubplanner: Resource planning and utilization for agencies.

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

How Hubplanner entities map to MicroStrategy

Hubplanner entityMicroStrategy objectNotes
bookingshubplanner_bookingsid PK · custom fields → flattened columns
resourceshubplanner_resourcesid PK · linked to hubplanner_bookings
projectshubplanner_projectsid PK · linked to hubplanner_bookings
clientshubplanner_clientsid PK · linked to hubplanner_bookings

FAQ

How does Datrise handle Hubplanner'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 Hubplanner 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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