My Hours to Oracle Database Integration
AI-first ETL from My Hours into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads My Hours into Oracle Database
Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates 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
My Hours: Time tracking and billable hours for projects.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How My Hours entities map to Oracle Database
| My Hours entity | Oracle Database object | Notes |
|---|---|---|
| time logs | my_hours_time_logs | id PK · custom fields → JSON or CLOB columns |
| projects | my_hours_projects | id PK · linked to my_hours_time_logs |
| tasks | my_hours_tasks | id PK · linked to my_hours_time_logs |
| clients | my_hours_clients | id PK · linked to my_hours_time_logs |
FAQ
How does Datrise handle My Hours'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 My Hours 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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Early access
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