My Hours to MongoDB Integration
AI-first ETL from My Hours into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads My Hours into MongoDB
Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
My Hours: Time tracking and billable hours for projects.
MongoDB: Document database for flexible schemas.
How My Hours entities map to MongoDB
| My Hours entity | MongoDB object | Notes |
|---|---|---|
| time logs | my_hours_time_logs | id PK · custom fields → native nested documents |
| 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 MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the My Hours to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
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