Toggl to Redash Integration
AI-first ETL from Toggl into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Toggl into Redash
Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Toggl: Time tracking with projects, clients, and reports.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Toggl entities map to Redash
| Toggl entity | Redash object | Notes |
|---|---|---|
| time entries | toggl_time_entries | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Toggl to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Toggl
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