DatriseAI-first ETL

Autopilot to MySQL Integration

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

How Datrise loads Autopilot into MySQL

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields 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

Autopilot: Visual marketing automation and customer journeys.

MySQL: Widely used OSS relational engine (InnoDB).

How Autopilot entities map to MySQL

Autopilot entityMySQL objectNotes
contactsautopilot_contactsid PK · custom fields → JSON columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Autopilot'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 Autopilot 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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