Google Cloud SQL to PostgreSQL Integration
AI-first ETL from Google Cloud SQL into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into PostgreSQL
Datrise syncs Google Cloud SQL's tables, rows, schemas, indexes, read replicas, and binlog changes into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Google Cloud SQL: Managed MySQL, PostgreSQL, and SQL Server instances on GCP.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Google Cloud SQL entities map to PostgreSQL
| Google Cloud SQL entity | PostgreSQL object | Notes |
|---|---|---|
| tables | google_cloud_sql_tables | id PK · custom fields → jsonb columns |
| rows | google_cloud_sql_rows | id PK · linked to google_cloud_sql_tables |
| schemas | google_cloud_sql_schemas | id PK · linked to google_cloud_sql_tables |
| indexes | google_cloud_sql_indexes | id PK · linked to google_cloud_sql_tables |
FAQ
How does Datrise handle Google Cloud SQL's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Google Cloud SQL to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Google Cloud SQL
- Google Cloud SQL → MySQL
- Google Cloud SQL → Microsoft SQL Server
- Google Cloud SQL → Oracle Database
- Google Cloud SQL → Snowflake
- Google Cloud SQL → Google BigQuery
- Google Cloud SQL → Amazon Redshift
- Google Cloud SQL → Databricks SQL Warehouse
- Google Cloud SQL → ClickHouse
- Google Cloud SQL → DuckDB
- Google Cloud SQL → Amazon Athena
- Google Cloud SQL → Amazon S3 Data Lake
- Google Cloud SQL → Azure Data Lake Storage
More sources for PostgreSQL
- Google Cloud Storage → PostgreSQL
- Google Directory → PostgreSQL
- Google Ecommerce → PostgreSQL
- Google PageSpeed Insights → PostgreSQL
- Greenhouse → PostgreSQL
- Gridly → PostgreSQL
- Harness → PostgreSQL
- Harvest Forecast → PostgreSQL
- Heap → PostgreSQL
- Hellobaton → PostgreSQL
- Heroku → PostgreSQL
- PostgreSQL → PostgreSQL
Early access
Connect Google Cloud SQL to PostgreSQL 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.