DatriseAI-first ETL

Contentful to MySQL Integration

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

How Datrise loads Contentful into MySQL

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events 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

Contentful: Headless CMS for structured content delivery.

MySQL: Widely used OSS relational engine (InnoDB).

How Contentful entities map to MySQL

Contentful entityMySQL objectNotes
entriescontentful_entriesid PK · custom fields → JSON columns
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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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