Timely to Looker Studio Integration
AI-first ETL from Timely into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Timely into Looker Studio
Datrise syncs Timely's time entries, projects, clients, users, tags, and billable hours into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Timely: Automatic time tracking for teams and projects.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Timely entities map to Looker Studio
| Timely entity | Looker Studio object | Notes |
|---|---|---|
| time entries | timely_time_entries | id PK · custom fields → flattened columns for chart fields |
| projects | timely_projects | id PK · linked to timely_time_entries |
| clients | timely_clients | id PK · linked to timely_time_entries |
| users | timely_users | id PK · linked to timely_time_entries |
FAQ
How does Datrise handle Timely's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Timely to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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