Secure and compliant
Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA.
Scale as you go
Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production.
Set up in minutes
Standard connection drivers and built-in migrational tools allow you to create and connect to your first database in just a few minutes.
Cloud SQL automatically ensures your databases are reliable, secure, and scalable so that your business continues to run without disruption. Cloud SQL automates all your backups, replication, encryption patches, and capacity increases—while ensuring greater than 99.95% availability, anywhere in the world.
Access Cloud SQL instances from just about any application. Easily connect from App Engine, Compute Engine, Google Kubernetes Engine, and your workstation. Open up analytics possibilities by using BigQuery to directly query your Cloud SQL databases.
Easily configure replication and backups to protect your data. Go further by enabling automatic failover to make your database highly available. Your data is automatically encrypted, and Cloud SQL is SSAE 16, ISO 27001, and PCI DSS compliant and supports HIPAA compliance.
Easy migrations to Cloud SQL
Database Migration Service (DMS) makes it easy to migrate your production databases to Cloud SQL with minimal downtime. This serverless offering eliminates the manual hassle of provisioning, managing, and monitoring migration-specific resources. DMS leverages the native replication capabilities of MySQL and PostgreSQL to maximize the fidelity and reliability of your migration. And it’s available at no additional charge for native like-to-like migrations to Cloud SQL. Learn more.
Learn from customers using Cloud SQL
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Cloud SQL features
View a breakdown of features and capabilities across Cloud SQL database services.
Connecting to Cloud SQL from external applications
Learn how to connect to Cloud SQL from applications running outside of Google Cloud.
Connecting MySQL client using public IP
Connect a MySQL client to your Cloud SQL instance–whether it’s running locally on your client machine or in Cloud Shell.
Cloud SQL for MySQL
Learn about the major features and capabilities of Cloud SQL for MySQL.
Cloud SQL Insights
Get an overview of Insights and learn how to use it to detect and diagnose performance problems.
High availability configuration
Get an overview of the high availability (HA) configuration for Cloud SQL instances.
Migrating MySQL to Cloud SQL
Best practices for using Database Migration Service for migrating MySQL to Cloud SQL for MySQL
Google Kubernetes Engine enables rapid development by making it easy to deploy, update, and manage your applications and services. Cloud SQL makes it easy to set up, manage, and administer your Postgres databases on Google Cloud. This use case is a building block of a microservices architecture that is backed by an independent storage service, decentralizing data management and ensuring that each service is independently scalable. Try the lab.
|Fast, easy migrations||Database Migration Service makes it easy to migrate databases from on-premises, Compute Engine, and other clouds to Cloud SQL with minimal downtime.|
|Secure access and connectivity||Cloud SQL data is encrypted when on Google’s internal networks and when stored in database tables, temporary files, and backups. Cloud SQL supports private connectivity with Virtual Private Cloud (VPC), and every Cloud SQL instance includes a network firewall, allowing you to control public network access to your database instance.|
|Built-in high availability||
Replicate your instance to another zone or region with just a click of a button. Leverage built-in HA to provide isolation from many types of infrastructure hardware, and software failures.
|Scalability||Easily scale up as your data grows—add up to 64 processor cores and more than 400 GB of RAM and 30 TB of storage and add read replicas to handle increasing read traffic.|
|Cloud SQL Insights||Quickly understand and resolve database performance issues on Cloud SQL. Pre-built dashboards and visual query plans help developers identify the root cause of problems. Access database metrics and traces in existing tools using OpenTelemetry. Monitor databases through the lens of the application using query tags.|
|Automatic storage increases||Cloud SQL can automatically scale up storage capacity when you are near your limit. This way you don’t have to spend time estimating future storage needs or spend money on capacity until you need it.|
|High performance||Cloud SQL supports performance-intensive workloads with up to 60,000 IOPS and no extra cost for IO.|
|Easy integration||Access Cloud SQL instances from just about any application. Easily connect from App Engine, Compute Engine, Google Kubernetes Engine, and your workstation. Open up analytics possibilities by using BigQuery to directly query your Cloud SQL databases.|
|Automatic backups||Automate daily backups and binary logging (for replication or point-in-time recovery).|
|Point-in-time recovery||Restore your instance to its state at an earlier point in time.|
|Compatibility||Build and deploy for the cloud faster because Cloud SQL offers standard MySQL, PostgreSQL, and Microsoft SQL Server databases, ensuring application compatibility.|
|Standard APIs||Build and deploy for the cloud faster because Cloud SQL offers standard MySQL, PostgreSQL, and SQL Server databases, ensuring application compatibility. Use standard connection drivers and built-in migration tools to get started quickly.|