DatriseAI-first ETL

Secoda to Oracle Database Integration

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

How Datrise loads Secoda into Oracle Database

Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries 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

Secoda: Data catalog, lineage, and documentation.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Secoda entities map to Oracle Database

Secoda entityOracle Database objectNotes
tablessecoda_tablesid PK · custom fields → JSON or CLOB columns
columnssecoda_columnsid PK · linked to secoda_tables
dictionariessecoda_dictionariesid PK · linked to secoda_tables
lineage edgessecoda_lineage_edgesid PK · linked to secoda_tables

FAQ

How does Datrise handle Secoda'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 Secoda 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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