DatriseAI-first ETL

Firebase to MySQL Integration

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

How Datrise loads Firebase into MySQL

Datrise syncs Firebase's users, collections, documents, auth events, app events, and security rules 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

Firebase: App backend with auth, storage, and analytics.

MySQL: Widely used OSS relational engine (InnoDB).

How Firebase entities map to MySQL

Firebase entityMySQL objectNotes
usersfirebase_usersid PK · custom fields → JSON columns
collectionsfirebase_collectionsid PK · linked to firebase_users
documentsfirebase_documentsid PK · linked to firebase_users
auth eventsfirebase_auth_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Firebase'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 Firebase 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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