DatriseAI-first ETL

Lokalise to MySQL Integration

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

How Datrise loads Lokalise into MySQL

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses 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

Lokalise: Translation management for product strings.

MySQL: Widely used OSS relational engine (InnoDB).

How Lokalise entities map to MySQL

Lokalise entityMySQL objectNotes
projectslokalise_projectsid PK · custom fields → JSON columns
keyslokalise_keysid PK · linked to lokalise_projects
translationslokalise_translationsid PK · linked to lokalise_projects
languageslokalise_languagesid PK · linked to lokalise_projects

FAQ

How does Datrise handle Lokalise'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 Lokalise 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 Lokalise 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.