Google Cloud SQL → MySQL
AI-first ETL from Google Cloud SQL into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into MySQL
Datrise syncs Google Cloud SQL'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: SaaS or API data source for analytics and warehouse sync.
MySQL: Widely used OSS relational engine (InnoDB).
How Google Cloud SQL entities map to MySQL
| Google Cloud SQL entity | MySQL object | Notes |
|---|---|---|
| records | google_cloud_sql_records | id PK · custom fields → JSON columns |
| events | google_cloud_sql_events | DATETIME/TIMESTAMP events |
| configuration objects | google_cloud_sql_configuration_objects | id PK · linked to google_cloud_sql_records |
FAQ
How does Datrise handle Google Cloud SQL'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 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
- 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
- Google Cloud SQL → Azure Synapse
Early access
Connect Google Cloud SQL 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.