DatriseAI-first ETL

Braze to MySQL Integration

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

How Datrise loads Braze into MySQL

Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes 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

Braze: Cross-channel customer engagement platform.

MySQL: Widely used OSS relational engine (InnoDB).

How Braze entities map to MySQL

Braze entityMySQL objectNotes
usersbraze_usersid PK · custom fields → JSON columns
campaignsbraze_campaignsid PK · linked to braze_users
canvasesbraze_canvasesid PK · linked to braze_users
message eventsbraze_message_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Braze'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 Braze 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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