Google Cloud SQL Postgresql → Databricks SQL Warehouse
AI-first ETL from Google Cloud SQL Postgresql into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL Postgresql into Databricks SQL Warehouse
Datrise syncs Google Cloud SQL Postgresql's records, events, and configuration objects 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 SQL Postgresql: SaaS or API data source for analytics and warehouse sync.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google Cloud SQL Postgresql entities map to Databricks SQL Warehouse
| Google Cloud SQL Postgresql entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| records | google_cloud_sql_postgresql_records | id PK · custom fields → VARIANT or STRUCT columns |
| events | google_cloud_sql_postgresql_events | TIMESTAMP events |
| configuration objects | google_cloud_sql_postgresql_configuration_objects | id PK · linked to google_cloud_sql_postgresql_records |
FAQ
How does Datrise handle Google Cloud SQL Postgresql'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 SQL Postgresql 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 SQL Postgresql
- Google Cloud SQL Postgresql → ClickHouse
- Google Cloud SQL Postgresql → DuckDB
- Google Cloud SQL Postgresql → Amazon Athena
- Google Cloud SQL Postgresql → Amazon S3 Data Lake
- Google Cloud SQL Postgresql → Azure Data Lake Storage
- Google Cloud SQL Postgresql → Azure Synapse
- Google Cloud SQL Postgresql → Spreadsheets
- Google Cloud SQL Postgresql → Airtable
- Google Cloud SQL Postgresql → CSV Files
- Google Cloud SQL Postgresql → MongoDB
- Google Cloud SQL Postgresql → Supabase
- Google Cloud SQL Postgresql → Neon
More sources for Databricks SQL Warehouse
- Google Cloud Storage F → Databricks SQL Warehouse
- Google Directory → Databricks SQL Warehouse
- Google Ecommerce → Databricks SQL Warehouse
- Google Pagespeed Insights → Databricks SQL Warehouse
- Google Webfonts → Databricks SQL Warehouse
- Greenhouse → Databricks SQL Warehouse
- Gridly → Databricks SQL Warehouse
- Gutendex → Databricks SQL Warehouse
- Harness → Databricks SQL Warehouse
- Harvest Forecast → Databricks SQL Warehouse
- Heap → Databricks SQL Warehouse
- Hellobaton → Databricks SQL Warehouse
Early access
Connect Google Cloud SQL Postgresql 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.