DatriseAI-first ETL

Google Ecommerce Holistics

AI-first ETL from Google Ecommerce into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Ecommerce into Holistics

Datrise syncs Google Ecommerce's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Google Ecommerce: SaaS or API data source for analytics and warehouse sync.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Google Ecommerce entities map to Holistics

Google Ecommerce entityHolistics objectNotes
recordsgoogle_ecommerce_recordsid PK · custom fields → flattened columns for the modeling layer
eventsgoogle_ecommerce_eventsdate/time dimensions events
configuration objectsgoogle_ecommerce_configuration_objectsid PK · linked to google_ecommerce_records

FAQ

How does Datrise handle Google Ecommerce's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Google Ecommerce to Holistics sync stay up to date?

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

Related pipelines

Early access

Connect Google Ecommerce to Holistics the easy way

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