Cloud SQL
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Run the exact same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
-
Reduce maintenance cost with fully managed MySQL, PostgreSQL and SQL Server databases
-
Ensure business continuity with reliable and secure services backed by 24/7 SRE team
-
Automate database provisioning, storage capacity management, and other time-consuming tasks
-
Database observability made easy for developers with Cloud SQL Insights
-
Easy integration with existing apps and Google Cloud services like GKE and BigQuery
Benefits
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.
Key features
Key features
Fully managed
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.
Integrated
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.
Reliable
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.
Customers
Learn from customers using Cloud SQL
What’s new
What's new
Sign up
for Google Cloud newsletters to receive product updates,
event information, special offers, and more.
Documentation
Documentation
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.
Get started with Cloud SQL for MySQL
In this tutorial, you'll: create a new MySQL instance, connect to it, set up and query a database, and clean up the instance.
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
Migrating Oracle to PostgreSQL
Learn how to migrate from Oracle to Cloud SQL for PostgreSQL with minimal downtime with Datastream.
Get started with Cloud SQL in this hands-on practice
Enroll in this Qwiklabs quest to receive hands-on practice on Cloud SQL and apply this knowledge to production frameworks and application environments.
Use cases
Use cases
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 PostgreSQL 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.
All features
All features
| 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 96 processor cores and more than 624 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. |
| Real-time change data capture and replication | Synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Seamlessly deliver change streams from Oracle and MySQL databases into Google Cloud services such as BigQuery, Cloud SQL, Google Cloud Storage, and Cloud Spanner for up-to-date information. |
| 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. |
Pricing
Pricing
Cloud SQL offers sizes to fit any budget. Pricing varies
with settings, including how much storage, memory, and CPU
you provision. Cloud SQL offers per-second billing and
database instances are easy to stop and start.
Partners
Partners
Our partners help you streamline the process of loading
your data, create rich visualizations for meaningful
insights, and monitor and manage your databases.
ORACLE® is a registered trademark of Oracle Corporation.