Google BigQuery to Databricks SQL Warehouse Integration
AI-first ETL from Google BigQuery into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google BigQuery into Databricks SQL Warehouse
Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions 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 BigQuery: Serverless analytics warehouse on Google Cloud.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google BigQuery entities map to Databricks SQL Warehouse
| Google BigQuery entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| datasets | bigquery_datasets | id PK · custom fields → VARIANT or STRUCT columns |
| 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 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 BigQuery 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 BigQuery
- Google BigQuery → ClickHouse
- Google BigQuery → DuckDB
- Google BigQuery → Amazon Athena
- Google BigQuery → Amazon S3 Data Lake
- Google BigQuery → Azure Data Lake Storage
- Google BigQuery → Azure Synapse
- Google BigQuery → Spreadsheets
- Google BigQuery → Airtable
- Google BigQuery → CSV Files
- Google BigQuery → MongoDB
- Google BigQuery → Supabase
- Google BigQuery → Neon
More sources for Databricks SQL Warehouse
- Branch → Databricks SQL Warehouse
- Braze → Databricks SQL Warehouse
- Bronto → Databricks SQL Warehouse
- CallRail → Databricks SQL Warehouse
- Campaign Monitor → Databricks SQL Warehouse
- Cart → Databricks SQL Warehouse
- ChartMogul → Databricks SQL Warehouse
- CircleCI → Databricks SQL Warehouse
- CleverTap → Databricks SQL Warehouse
- ClickHouse → Databricks SQL Warehouse
- Clockify → Databricks SQL Warehouse
- Club Speed → Databricks SQL Warehouse
Early access
Connect Google BigQuery 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.