Toggl to PlanetScale Integration
AI-first ETL from Toggl into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Toggl into PlanetScale
Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Toggl: Time tracking with projects, clients, and reports.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Toggl entities map to PlanetScale
| Toggl entity | PlanetScale object | Notes |
|---|---|---|
| time entries | toggl_time_entries | id PK · custom fields → JSON columns |
| projects | toggl_projects | id PK · linked to toggl_time_entries |
| clients | toggl_clients | id PK · linked to toggl_time_entries |
| workspaces | toggl_workspaces | id PK · linked to toggl_time_entries |
FAQ
How does Datrise handle Toggl's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Toggl to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Toggl
More sources for PlanetScale
Early access
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