DatriseAI-first ETL

Google Cloud Storage to Spreadsheets Integration

AI-first ETL from Google Cloud Storage into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Cloud Storage into Spreadsheets

Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes 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 Cloud Storage: Object storage for files and data lake exports on GCP.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Google Cloud Storage entities map to Spreadsheets

Google Cloud Storage entitySpreadsheets objectNotes
bucketsgoogle_cloud_storage_f_bucketsid PK · custom fields → JSON-stringified cells for nested fields
objectsgoogle_cloud_storage_f_objectsid PK · linked to google_cloud_storage_f_buckets
prefixesgoogle_cloud_storage_f_prefixesid PK · linked to google_cloud_storage_f_buckets
object metadatagoogle_cloud_storage_f_object_metadataid PK · linked to google_cloud_storage_f_buckets

FAQ

How does Datrise handle Google Cloud Storage'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 Cloud Storage to Spreadsheets sync stay up to date?

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

Related pipelines

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