DatriseAI-first ETL

Convex Dev MySQL

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

How Datrise loads Convex Dev into MySQL

Datrise syncs Convex Dev's records, events, and configuration objects 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

Convex Dev: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Convex Dev entities map to MySQL

Convex Dev entityMySQL objectNotes
recordsconvex_dev_recordsid PK · custom fields → JSON columns
eventsconvex_dev_eventsDATETIME/TIMESTAMP events
configuration objectsconvex_dev_configuration_objectsid PK · linked to convex_dev_records

FAQ

How does Datrise handle Convex Dev'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 Convex Dev 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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