DatriseAI-first ETL

Lokalise to Apache Superset Integration

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

How Datrise loads Lokalise into Apache Superset

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Lokalise: Translation management for product strings.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Lokalise entities map to Apache Superset

Lokalise entityApache Superset objectNotes
projectslokalise_projectsid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

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

How does the Lokalise to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Lokalise to Apache Superset the easy way

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