Google Cloud Storage to Amazon Athena Integration
AI-first ETL from Google Cloud Storage into Amazon Athena. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into Amazon Athena
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.
Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.
Ideal for serverless SQL over an S3 lake without a running warehouse.
Endpoints
Google Cloud Storage: Object storage for files and data lake exports on GCP.
Amazon Athena: Serverless SQL over S3 data lake tables.
How Google Cloud Storage entities map to Amazon Athena
| Google Cloud Storage entity | Amazon Athena object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → struct/map columns in Parquet |
| objects | google_cloud_storage_f_objects | id PK · linked to google_cloud_storage_f_buckets |
| prefixes | google_cloud_storage_f_prefixes | id PK · linked to google_cloud_storage_f_buckets |
| object metadata | google_cloud_storage_f_object_metadata | id PK · linked to google_cloud_storage_f_buckets |
FAQ
How does Datrise handle Google Cloud Storage's custom fields in Amazon Athena?
Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.
How does the Google Cloud Storage to Amazon Athena sync stay up to date?
It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.
Related pipelines
More destinations for Google Cloud Storage
- Google Cloud Storage → Amazon S3 Data Lake
- Google Cloud Storage → Azure Data Lake Storage
- Google Cloud Storage → Azure Synapse
- Google Cloud Storage → Spreadsheets
- Google Cloud Storage → Airtable
- Google Cloud Storage → CSV Files
- Google Cloud Storage → MongoDB
- Google Cloud Storage → Supabase
- Google Cloud Storage → Neon
- Google Cloud Storage → PlanetScale
- Google Cloud Storage → Amazon DynamoDB
- Google Cloud Storage → Looker
More sources for Amazon Athena
- Google Directory → Amazon Athena
- Google Ecommerce → Amazon Athena
- Google PageSpeed Insights → Amazon Athena
- Greenhouse → Amazon Athena
- Gridly → Amazon Athena
- Harness → Amazon Athena
- Harvest Forecast → Amazon Athena
- Heap → Amazon Athena
- Hellobaton → Amazon Athena
- Heroku → Amazon Athena
- PostgreSQL → Amazon Athena
- Hubplanner → Amazon Athena
Early access
Connect Google Cloud Storage to Amazon Athena the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.