Toggl to MySQL Integration
AI-first ETL from Toggl into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Toggl into MySQL
Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users into MySQL 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/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Toggl: Time tracking with projects, clients, and reports.
MySQL: Widely used OSS relational engine (InnoDB).
How Toggl entities map to MySQL
| Toggl entity | MySQL 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 MySQL?
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 MySQL types.
How does the Toggl to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
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