Google Cloud SQL Postgresql → MySQL
AI-first ETL from Google Cloud SQL Postgresql into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL Postgresql into MySQL
Datrise syncs Google Cloud SQL Postgresql's records, events, and configuration objects into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Google Cloud SQL Postgresql: SaaS or API data source for analytics and warehouse sync.
MySQL: Widely used OSS relational engine (InnoDB).
How Google Cloud SQL Postgresql entities map to MySQL
| Google Cloud SQL Postgresql entity | MySQL object | Notes |
|---|---|---|
| records | google_cloud_sql_postgresql_records | id PK · custom fields → JSON columns |
| events | google_cloud_sql_postgresql_events | DATETIME/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 MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Google Cloud SQL Postgresql to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Google Cloud SQL Postgresql
- Google Cloud SQL Postgresql → Microsoft SQL Server
- Google Cloud SQL Postgresql → Oracle Database
- Google Cloud SQL Postgresql → Snowflake
- Google Cloud SQL Postgresql → Google BigQuery
- Google Cloud SQL Postgresql → Amazon Redshift
- Google Cloud SQL Postgresql → Databricks SQL Warehouse
- 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
Early access
Connect Google Cloud SQL Postgresql to MySQL 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.