Confluence to MySQL Integration

How Datrise loads Confluence into MySQL

Datrise syncs Confluence's spaces, pages, blog posts, comments, attachments, and page versions 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

Confluence: Team wiki and documentation workspace.

MySQL: Widely used OSS relational engine (InnoDB).

How Confluence entities map to MySQL

Confluence entity	MySQL object	Notes
spaces	`confluence_spaces`	id PK · custom fields → JSON columns
pages	`confluence_pages`	id PK · linked to confluence_spaces
blog posts	`confluence_blog_posts`	id PK · linked to confluence_spaces
comments	`confluence_comments`	id PK · linked to confluence_spaces

FAQ

How does Datrise handle Confluence'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 Confluence 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

Early access

Connect Confluence to MySQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.