DatriseAI-first ETL

Mindbody MySQL

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

How Datrise loads Mindbody into MySQL

Datrise syncs Mindbody's contacts, accounts, deals, activities, and lifecycle events into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Mindbody entities map to MySQL

Mindbody entityMySQL objectNotes
contactsmindbody_contactsid PK · custom fields → JSON columns
accountsmindbody_accountsid PK · linked to mindbody_contacts
dealsmindbody_dealsid PK · linked to mindbody_contacts
activitiesmindbody_activitiesDATETIME/TIMESTAMP events

FAQ

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

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

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

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

Related pipelines

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