DatriseAI-first ETL

Google Cloud Storage to Amazon QuickSight Integration

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

How Datrise loads Google Cloud Storage into Amazon QuickSight

Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Google Cloud Storage: Object storage for files and data lake exports on GCP.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Google Cloud Storage entities map to Amazon QuickSight

Google Cloud Storage entityAmazon QuickSight objectNotes
bucketsgoogle_cloud_storage_f_bucketsid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the Google Cloud Storage to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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