DatriseAI-first ETL

Oracle Database to Azure Synapse Integration

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

How Datrise loads Oracle Database into Azure Synapse

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Oracle Database: Oracle Database for enterprise transactional workloads.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Oracle Database entities map to Azure Synapse

Oracle Database entityAzure Synapse objectNotes
tablesoracle_db_tablesid PK · custom fields → NVARCHAR(MAX) 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 Azure Synapse?

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

How does the Oracle Database to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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