DatriseAI-first ETL

Lokalise to Neon Integration

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

How Datrise loads Lokalise into Neon

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, and translation statuses into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Lokalise: Translation management for product strings.

Neon: Serverless Postgres destination with branching and autoscaling.

How Lokalise entities map to Neon

Lokalise entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

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