Lokalise to Yellowfin Integration
AI-first ETL from Lokalise into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lokalise into Yellowfin
Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Lokalise: Translation management for product strings.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Lokalise entities map to Yellowfin
| Lokalise entity | Yellowfin object | Notes |
|---|---|---|
| projects | lokalise_projects | id PK · custom fields → flattened columns |
| keys | lokalise_keys | id PK · linked to lokalise_projects |
| translations | lokalise_translations | id PK · linked to lokalise_projects |
| languages | lokalise_languages | id PK · linked to lokalise_projects |
FAQ
How does Datrise handle Lokalise's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Lokalise to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Lokalise
Early access
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