DatriseAI-first ETL

Metabase to MySQL Integration

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

How Datrise loads Metabase into MySQL

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions 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

Metabase: Self-service BI over existing databases.

MySQL: Widely used OSS relational engine (InnoDB).

How Metabase entities map to MySQL

Metabase entityMySQL objectNotes
questionsmetabase_questionsid PK · custom fields → JSON columns
dashboardsmetabase_dashboardsid PK · linked to metabase_questions
collectionsmetabase_collectionsid PK · linked to metabase_questions
cardsmetabase_cardsid PK · linked to metabase_questions

FAQ

How does Datrise handle Metabase'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 Metabase 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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