Metabase to Looker Studio Integration

How Datrise loads Metabase into Looker Studio

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions 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

Metabase: Self-service BI over existing databases.

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

How Metabase entities map to Looker Studio

Metabase entity	Looker Studio object	Notes
questions	`metabase_questions`	id PK · custom fields → flattened columns for chart fields
dashboards	`metabase_dashboards`	id PK · linked to metabase_questions
collections	`metabase_collections`	id PK · linked to metabase_questions
cards	`metabase_cards`	id PK · linked to metabase_questions

FAQ

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

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

Related pipelines

Early access

Connect Metabase to Looker Studio the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.