Toggl to Holistics Integration
AI-first ETL from Toggl into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Toggl into Holistics
Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Toggl: Time tracking with projects, clients, and reports.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Toggl entities map to Holistics
| Toggl entity | Holistics object | Notes |
|---|---|---|
| time entries | toggl_time_entries | id PK · custom fields → flattened columns for the modeling layer |
| 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 Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Toggl to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Toggl
Early access
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