DatriseAI-first ETL

Lokalise to Metabase Integration

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

How Datrise loads Lokalise into Metabase

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Lokalise: Translation management for product strings.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Lokalise entities map to Metabase

Lokalise entityMetabase objectNotes
projectslokalise_projectsid PK · custom fields → flattened columns for the question builder
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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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