Google Cloud Storage to Databricks SQL Warehouse Integration
AI-first ETL from Google Cloud Storage into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into Databricks SQL Warehouse
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Google Cloud Storage: Object storage for files and data lake exports on GCP.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google Cloud Storage entities map to Databricks SQL Warehouse
| Google Cloud Storage entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → VARIANT or STRUCT columns |
| 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 Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Google Cloud Storage to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Google Cloud Storage
- Google Cloud Storage → ClickHouse
- Google Cloud Storage → DuckDB
- Google Cloud Storage → Amazon Athena
- 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
More sources for Databricks SQL Warehouse
- Google Directory → Databricks SQL Warehouse
- Google Ecommerce → Databricks SQL Warehouse
- Google PageSpeed Insights → Databricks SQL Warehouse
- Greenhouse → Databricks SQL Warehouse
- Gridly → Databricks SQL Warehouse
- Harness → Databricks SQL Warehouse
- Harvest Forecast → Databricks SQL Warehouse
- Heap → Databricks SQL Warehouse
- Hellobaton → Databricks SQL Warehouse
- Heroku → Databricks SQL Warehouse
- PostgreSQL → Databricks SQL Warehouse
- Hubplanner → Databricks SQL Warehouse
Early access
Connect Google Cloud Storage to Databricks SQL Warehouse 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.