Notion to MySQL Integration
AI-first ETL from Notion into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Notion into MySQL
Datrise syncs Notion's pages, databases, database rows, properties, blocks, and comments 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
Notion: Connected workspace of docs and databases.
MySQL: Widely used OSS relational engine (InnoDB).
How Notion entities map to MySQL
| Notion entity | MySQL object | Notes |
|---|---|---|
| pages | notion_pages | id PK · custom fields → JSON columns |
| databases | notion_databases | id PK · linked to notion_pages |
| database rows | notion_database_rows | id PK · linked to notion_pages |
| properties | notion_properties | id PK · linked to notion_pages |
FAQ
How does Datrise handle Notion'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 Notion to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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