Google BigQuery to Spreadsheets Integration

How Datrise loads Google BigQuery into Spreadsheets

Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Google BigQuery: Serverless analytics warehouse on Google Cloud.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Google BigQuery entities map to Spreadsheets

Google BigQuery entity	Spreadsheets object	Notes
datasets	`bigquery_datasets`	id PK · custom fields → JSON-stringified cells for nested fields
tables	`bigquery_tables`	id PK · linked to bigquery_datasets
views	`bigquery_views`	id PK · linked to bigquery_datasets
query jobs	`bigquery_query_jobs`	id PK · linked to bigquery_datasets

FAQ

How does Datrise handle Google BigQuery's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Google BigQuery to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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