Mindbody to MongoDB Integration

How Datrise loads Mindbody into MongoDB

Datrise syncs Mindbody's clients, class bookings, memberships, staff, sales, and appointments into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

Mindbody: Booking and membership platform for wellness studios.

MongoDB: Document database for flexible schemas.

How Mindbody entities map to MongoDB

Mindbody entity	MongoDB object	Notes
clients	`mindbody_clients`	id PK · custom fields → native nested documents
class bookings	`mindbody_class_bookings`	id PK · linked to mindbody_clients
memberships	`mindbody_memberships`	id PK · linked to mindbody_clients
staff	`mindbody_staff`	id PK · linked to mindbody_clients

FAQ

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

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

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

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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