DatriseAI-first ETL

Branch to Oracle Database Integration

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

How Datrise loads Branch into Oracle Database

Datrise syncs Branch's links, clicks, installs, events, attribution touchpoints, and campaigns 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

Branch: Deep linking and mobile attribution.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Branch entities map to Oracle Database

Branch entityOracle Database objectNotes
linksbranch_linksid PK · custom fields → JSON or CLOB columns
clicksbranch_clicksid PK · linked to branch_links
installsbranch_installsid PK · linked to branch_links
eventsbranch_eventsTIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Branch'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 Branch 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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