DatriseAI-first ETL

Oracle Database to PlanetScale Integration

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

How Datrise loads Oracle Database into PlanetScale

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Oracle Database: Oracle Database for enterprise transactional workloads.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Oracle Database entities map to PlanetScale

Oracle Database entityPlanetScale objectNotes
tablesoracle_db_tablesid PK · custom fields → JSON columns
rowsoracle_db_rowsid PK · linked to oracle_db_tables
schemasoracle_db_schemasid PK · linked to oracle_db_tables
indexesoracle_db_indexesid PK · linked to oracle_db_tables

FAQ

How does Datrise handle Oracle Database's custom fields in PlanetScale?

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

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

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

Related pipelines

Early access

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