DatriseAI-first ETL

Gridly to PostgreSQL Integration

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

How Datrise loads Gridly into PostgreSQL

Datrise syncs Gridly's grids, records, columns, languages, views, 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

Gridly: Localization and content grids for games and apps.

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

How Gridly entities map to PostgreSQL

Gridly entityPostgreSQL objectNotes
gridsgridly_gridsid PK · custom fields → jsonb columns
recordsgridly_recordsid PK · linked to gridly_grids
columnsgridly_columnsid PK · linked to gridly_grids
languagesgridly_languagesid PK · linked to gridly_grids

FAQ

How does Datrise handle Gridly'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 Gridly 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

Early access

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