Glassfrog to Looker Studio Integration

How Datrise loads Glassfrog into Looker Studio

Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records 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

Glassfrog: Holacracy roles, circles, and governance records.

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

How Glassfrog entities map to Looker Studio

Glassfrog entity	Looker Studio object	Notes
circles	`glassfrog_circles`	id PK · custom fields → flattened columns for chart fields
roles	`glassfrog_roles`	id PK · linked to glassfrog_circles
people	`glassfrog_people`	id PK · linked to glassfrog_circles
accountabilities	`glassfrog_accountabilities`	id PK · linked to glassfrog_circles

FAQ

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

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

Related pipelines

Early access

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