DatriseAI-first ETL

Vero to MySQL Integration

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

How Datrise loads Vero into MySQL

Datrise syncs Vero's users, events, campaigns, message events, segments, and user properties 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

Vero: Behavioral email and push messaging.

MySQL: Widely used OSS relational engine (InnoDB).

How Vero entities map to MySQL

Vero entityMySQL objectNotes
usersvero_usersid PK · custom fields → JSON columns
eventsvero_eventsDATETIME/TIMESTAMP events
campaignsvero_campaignsid PK · linked to vero_users
message eventsvero_message_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Vero'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 Vero 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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