DatriseAI-first ETL

Neon CRM to Looker Studio Integration

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

How Datrise loads Neon CRM into Looker Studio

Datrise syncs Neon CRM's accounts, donations, memberships, events, event registrations, and campaigns 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

Neon CRM: Nonprofit CRM spanning donations, memberships, and events.

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

How Neon CRM entities map to Looker Studio

Neon CRM entityLooker Studio objectNotes
accountsneoncrm_accountsid PK · custom fields → flattened columns for chart fields
donationsneoncrm_donationsid PK · linked to neoncrm_accounts
membershipsneoncrm_membershipsid PK · linked to neoncrm_accounts
eventsneoncrm_eventsdate dimension columns events

FAQ

How does Datrise handle Neon CRM'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 Neon CRM 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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