Fauna to MySQL Integration
AI-first ETL from Fauna into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Fauna into MySQL
Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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
Fauna: Distributed document-relational database.
MySQL: Widely used OSS relational engine (InnoDB).
How Fauna entities map to MySQL
| Fauna entity | MySQL object | Notes |
|---|---|---|
| collections | fauna_collections | id PK · custom fields → JSON columns |
| documents | fauna_documents | id PK · linked to fauna_collections |
| indexes | fauna_indexes | id PK · linked to fauna_collections |
| functions | fauna_functions | id PK · linked to fauna_collections |
FAQ
How does Datrise handle Fauna'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 Fauna 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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Early access
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