DatriseAI-first ETL

Lokalise to PostgreSQL Integration

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

How Datrise loads Lokalise into PostgreSQL

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Lokalise: Translation management for product strings.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Lokalise entities map to PostgreSQL

Lokalise entityPostgreSQL objectNotes
projectslokalise_projectsid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Lokalise to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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