DatriseAI-first ETL

Oracle Database to Neon Integration

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

How Datrise loads Oracle Database into Neon

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes 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

Oracle Database: Oracle Database for enterprise transactional workloads.

Neon: Serverless Postgres destination with branching and autoscaling.

How Oracle Database entities map to Neon

Oracle Database entityNeon objectNotes
tablesoracle_db_tablesid PK · custom fields → jsonb 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 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 Oracle Database 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

Early access

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