DatriseAI-first ETL

Gridly to Oracle Database Integration

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

How Datrise loads Gridly into Oracle Database

Datrise syncs Gridly's grids, records, columns, languages, views, and translation statuses into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Gridly: Localization and content grids for games and apps.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Gridly entities map to Oracle Database

Gridly entityOracle Database objectNotes
gridsgridly_gridsid PK · custom fields → JSON or CLOB 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Gridly to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

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