DatriseAI-first ETL

Mindbody Supabase

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

How Datrise loads Mindbody into Supabase

Datrise syncs Mindbody's contacts, accounts, deals, activities, and lifecycle events into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Mindbody: Wellness and fitness CRM for members, bookings, and retention.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Mindbody entities map to Supabase

Mindbody entitySupabase objectNotes
contactsmindbody_contactsid PK · custom fields → jsonb columns
accountsmindbody_accountsid PK · linked to mindbody_contacts
dealsmindbody_dealsid PK · linked to mindbody_contacts
activitiesmindbody_activitiestimestamptz events

FAQ

How does Datrise handle Mindbody's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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