Mautic to MySQL Integration
AI-first ETL from Mautic into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mautic into MySQL
Datrise syncs Mautic's contacts, segments, campaigns, forms, page hits, and email stats 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
Mautic: Open-source marketing automation with contact tracking.
MySQL: Widely used OSS relational engine (InnoDB).
How Mautic entities map to MySQL
| Mautic entity | MySQL object | Notes |
|---|---|---|
| contacts | mautic_contacts | id PK · custom fields → JSON columns |
| segments | mautic_segments | id PK · linked to mautic_contacts |
| campaigns | mautic_campaigns | id PK · linked to mautic_contacts |
| forms | mautic_forms | id PK · linked to mautic_contacts |
FAQ
How does Datrise handle Mautic'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 Mautic 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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