DatriseAI-first ETL

Oracle Db MySQL

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

How Datrise loads Oracle Db into MySQL

Datrise syncs Oracle Db's records, events, and configuration objects into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Oracle Db: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Oracle Db entities map to MySQL

Oracle Db entityMySQL objectNotes
recordsoracle_db_recordsid PK · custom fields → JSON columns
eventsoracle_db_eventsDATETIME/TIMESTAMP events
configuration objectsoracle_db_configuration_objectsid PK · linked to oracle_db_records

FAQ

How does Datrise handle Oracle Db's custom fields in MySQL?

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 MySQL types.

How does the Oracle Db to MySQL sync stay up to date?

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

Related pipelines

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