Impartner to Looker Studio Integration

How Datrise loads Impartner into Looker Studio

Datrise syncs Impartner's partners, deal registrations, opportunities, tiers, MDF requests, and partner contacts 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

Impartner: Channel management for partner tiers and co-sell.

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

How Impartner entities map to Looker Studio

Impartner entity	Looker Studio object	Notes
partners	`impartner_partners`	id PK · custom fields → flattened columns for chart fields
deal registrations	`impartner_deal_registrations`	id PK · linked to impartner_partners
opportunities	`impartner_opportunities`	id PK · linked to impartner_partners
tiers	`impartner_tiers`	id PK · linked to impartner_partners

FAQ

How does Datrise handle Impartner'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 Impartner 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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