DatriseAI-first ETL

Mindbody to MicroStrategy Integration

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

How Datrise loads Mindbody into MicroStrategy

Datrise syncs Mindbody's clients, class bookings, memberships, staff, sales, and appointments 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

Mindbody: Booking and membership platform for wellness studios.

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

How Mindbody entities map to MicroStrategy

Mindbody entityMicroStrategy objectNotes
clientsmindbody_clientsid PK · custom fields → flattened columns
class bookingsmindbody_class_bookingsid PK · linked to mindbody_clients
membershipsmindbody_membershipsid PK · linked to mindbody_clients
staffmindbody_staffid PK · linked to mindbody_clients

FAQ

How does Datrise handle Mindbody'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 Mindbody 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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