Tempo to Looker Studio Integration

How Datrise loads Tempo into Looker Studio

Datrise syncs Tempo's worklogs, accounts, projects, users, teams, 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

Tempo: Time tracking and worklogs layered on Jira.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Tempo entities map to Looker Studio

Tempo entity	Looker Studio object	Notes
worklogs	`tempo_worklogs`	id PK · custom fields → flattened columns for chart fields
accounts	`tempo_accounts`	id PK · linked to tempo_worklogs
projects	`tempo_projects`	id PK · linked to tempo_worklogs
users	`tempo_users`	id PK · linked to tempo_worklogs

FAQ

How does Datrise handle Tempo'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 Tempo to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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