DatriseAI-first ETL

Recharge Looker Studio

AI-first ETL from Recharge into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Recharge into Looker Studio

Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn events 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

Recharge: Subscription commerce for Shopify and recurring billing.

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

How Recharge entities map to Looker Studio

Recharge entityLooker Studio objectNotes
subscriptionsrecharge_subscriptionsid PK · custom fields → flattened columns for chart fields
chargesrecharge_chargesid PK · linked to recharge_subscriptions
customersrecharge_customersid PK · linked to recharge_subscriptions
plansrecharge_plansid PK · linked to recharge_subscriptions

FAQ

How does Datrise handle Recharge'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 Recharge 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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