Google Ecommerce to Chartio Integration

How Datrise loads Google Ecommerce into Chartio

Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Google Ecommerce: Ecommerce reporting from Google Analytics.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Google Ecommerce entities map to Chartio

Google Ecommerce entity	Chartio object	Notes
transactions	`google_ecommerce_transactions`	id PK · custom fields → flattened columns for visual SQL
products	`google_ecommerce_products`	id PK · linked to google_ecommerce_transactions
product impressions	`google_ecommerce_product_impressions`	id PK · linked to google_ecommerce_transactions
checkout steps	`google_ecommerce_checkout_steps`	id PK · linked to google_ecommerce_transactions

FAQ

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

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

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

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

Related pipelines

Early access

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