DatriseAI-first ETL

Glassfrog Oracle Database

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

How Datrise loads Glassfrog into Oracle Database

Datrise syncs Glassfrog's records, events, and configuration objects 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

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Glassfrog entities map to Oracle Database

Glassfrog entityOracle Database objectNotes
recordsglassfrog_recordsid PK · custom fields → JSON or CLOB columns
eventsglassfrog_eventsTIMESTAMP WITH TIME ZONE events
configuration objectsglassfrog_configuration_objectsid PK · linked to glassfrog_records

FAQ

How does Datrise handle Glassfrog'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 Glassfrog to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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