DatriseAI-first ETL

Glassfrog to Oracle Database Integration

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 circles, roles, people, accountabilities, projects, and governance records 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: Holacracy roles, circles, and governance records.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Glassfrog entities map to Oracle Database

Glassfrog entityOracle Database objectNotes
circlesglassfrog_circlesid PK · custom fields → JSON or CLOB columns
rolesglassfrog_rolesid PK · linked to glassfrog_circles
peopleglassfrog_peopleid PK · linked to glassfrog_circles
accountabilitiesglassfrog_accountabilitiesid PK · linked to glassfrog_circles

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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