DatriseAI-first ETL

Mindbody to Metabase Integration

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

How Datrise loads Mindbody into Metabase

Datrise syncs Mindbody's clients, class bookings, memberships, staff, sales, and appointments into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Mindbody: Booking and membership platform for wellness studios.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Mindbody entities map to Metabase

Mindbody entityMetabase objectNotes
clientsmindbody_clientsid PK · custom fields → flattened columns for the question builder
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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the Mindbody to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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