Cloud SQL for MySQL, PostgreSQL, and SQL Server
Focus on your application, and leave the database to us
Features
Fully managed
Cloud SQL manages your databases so you don't have to, enabling your business to run without disruption. We automate all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
Price performance options
Cloud SQL provides the flexibility to choose the right capabilities based on your performance, availability, and data protection needs. Enterprise edition offers balanced performance with the lowest cost, while Enterprise Plus edition provides the highest level of performance through its fully optimized software and hardware stack. Further enhancing the performance spectrum within Cloud SQL are C4A instances, built on Google Axion Processors.
Additionally, SQL Server Enterprise Plus instances offer Performance optimized (1:8 core memory ratio) and Memory optimized (1:32 core memory ratio) machine families, providing even more granular control to fine-tune performance for specific needs.
High availability with subsecond downtime maintenance
Easily configure high availability with automatic failover across zones to protect your applications from a variety of possible failures. Enterprise edition provides a 99.95% availability SLA for general purpose workloads, while Enterprise Plus edition offers a 99.99% availability SLA for the most demanding workloads. Enterprise Plus primary instances require subsecond downtime for maintenance, and this edition also offers enhanced disaster recovery that allows failover and switchback to your original topology with zero data loss and no application changes.
Gemini in Cloud SQL
Simplify all aspects of the database journey with AI-powered assistance, helping you focus on what matters most. Gemini in Cloud SQL simplifies all aspects of database operations, including development, performance optimization, fleet management, governance, and migration.
Gemini in Database Migration Service helps you review and convert database-resident code like stored procedures, triggers, and functions and run it in Cloud SQL for PostgreSQL. Database Center helps proactively de-risk your fleet with intelligent performance and security recommendations. With Gemini enabled, Database Center makes optimizing your database fleet incredibly intuitive. Use a natural-language, agentic chat interface to ask questions, quickly resolve fleet issues, and get optimization recommendations.
AI applications and agents
Cloud SQL is a fully-featured vector database, offering comprehensive vector search capabilities for building AI-powered apps without having to learn and manage a separate system. You can provide users and agents with accurate responses to natural language questions with a data agent that provides near-100% text-to-SQL accuracy. In addition, Cloud SQL comes with a fully managed, remote MCP server so you can provide secure access to your data without running and scaling an MCP server yourself.
Firebase SQL Connect
Build mobile and web apps, and AI Agents, with Firebase SQL Connect, bridging the gap between Firebase's powerful development features and PostgreSQL's rich data management. Supercharge your development with Gemini AI for schema and feature generation, and build intelligent AI Agents with built-in tool definitions and vector search. Leverage the power of Cloud SQL for PostgreSQL as your backend while enjoying the seamless Firebase development experience.
Cost-effective
According to an IDC study, Cloud SQL customers achieved a three-year ROI of 246% and a payback period of 11 months. Committed use discounts offer additional savings for one to three year commitments.
Open and standards-based
Cloud SQL supports the most popular open source and commercial engines, including MySQL, PostgreSQL, and SQL Server with rich support for extensions, configuration flags, and popular developer tools. It's easy to get started—simply bring your existing skills over and enjoy the flexibility to work the way you want. You can create a database with just a few clicks in the console and connect your application.
LangChain integration
Easily build gen AI applications with LangChain. Cloud SQL features three LangChain integrations - Document loader for loading and storing information from documents, Vector stores for enabling semantic search, and Chat Messages History for saving/fetching previous chat conversations. Visit the Github repository for PostgreSQL, MySQL, and SQL Server to learn more.
Easy migrations
No matter where your database is located—whether on-premises, on Compute Engine, or in other clouds—Database Migration Service (DMS) can migrate it securely and with minimal downtime. DMS leverages the native replication capabilities of the source database to maximize the reliability of your migration. And lift and shift migrations to Cloud SQL are available at no additional charge.
Integrated
Cloud SQL seamlessly integrates with Google Cloud services, such as Compute Engine, Cloud Run, Google Kubernetes Engine, and Cloud IAM, allowing developers to build and deploy applications with ease. Provision your database via APIs and third-party tools, and use federated queries from BigQuery and low-latency database replication with Datastream for near real-time insights on operational data.
Data protection and compliance
Configure backups for data protection and restore your instance to an earlier point in time with a retention period of up to 35 days. Now, with Enhanced backups, get fine-grained control over your data protection strategy with immutable backups and centralized command and control through the integration with Google Cloud’s backup and disaster recovery service. Additionally, configure where your data is stored to comply with data residency requirements. Cloud SQL automatically encrypts data, is SSAE 16, ISO 27001, and PCI DSS compliant, and supports HIPAA compliance.
Secure access and connectivity
Cloud SQL data is encrypted when in transit on Google’s internal networks and when at rest in database tables, temporary files, and backups. It supports private connectivity with Virtual Private Cloud (VPC), and every Cloud SQL instance includes a network firewall, allowing you to control public network access. Cloud SQL also supports Private Service Connect, which allows you to access your database instances via private IP without going through the internet or using external IP addresses.
Scalability
Easily scale up as your data grows—add compute and storage, and scale out by adding read replicas to handle increasing read traffic. Cloud SQL can also automatically scale up storage capacity when you’re near your limit. Read replicas support high availability, can have their own read replicas, and can be located across regions.
Change data capture and replication
Stream data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream and Datastream for BigQuery. Scale up or down with a serverless architecture and no resources to provision or manage, and enable near real-time insights on operational data.
Compare Cloud SQL to other Google Cloud databases
| Google Cloud service | Overview | Key benefits |
|---|---|---|
Cloud SQL | Fully managed, cost-effective relational database service | Try Cloud SQL for the:
|
AlloyDB for PostgreSQL | Full PostgreSQL compatibility with superior performance and scale | Learn more about the benefits of AlloyDB for PostgreSQL, including:
|
Spanner | High performance and availability at virtually unlimited scale at zero-touch maintenance | Learn more about the benefits of Spanner, including:
|
Overview
Fully managed, cost-effective relational database service
Key benefits
Try Cloud SQL for the:
- Easiest lift and shift to the cloud
- Same management as the PostgreSQL, MySQL and SQL Server engines
- Lowest cost relational database option
Overview
Full PostgreSQL compatibility with superior performance and scale
Key benefits
Learn more about the benefits of AlloyDB for PostgreSQL, including:
- 4x faster than standard PostgreSQL for transactional workloads
- Hybrid transactional and analytical processing (HTAP)
- Up to 100x faster analytical queries than standard PostgreSQL
- Full AI support, designed to run anywhere
Overview
High performance and availability at virtually unlimited scale at zero-touch maintenance
Key benefits
Learn more about the benefits of Spanner, including:
- Strong consistency and global scale
- Run large queries with zero impact on operational traffic
- Highly scalable database with relational and non-relational capabilities, offering 99.999% availability
How It Works
Cloud SQL scales up in minutes and replicates data across zones and regions. It uses agents for maintenance, logging, monitoring, and configuration, with services backed by a 24/7 SRE team. Manage your database through the console, CLI, or REST API and connect your app through standard database drivers.
Common Uses
Database migration
Learning resources
Database modernization
Modernize your application with open source
A cloud deployment is a good opportunity to modernize your database environment by transitioning off legacy, proprietary databases and onto open source databases, such as PostgreSQL. With open source databases having become enterprise-ready, you don't need to compromise on performance, reliability, or security.
Learning resources
Modernize your application with open source
A cloud deployment is a good opportunity to modernize your database environment by transitioning off legacy, proprietary databases and onto open source databases, such as PostgreSQL. With open source databases having become enterprise-ready, you don't need to compromise on performance, reliability, or security.
New application development
Tutorials, quickstarts, & labs
Third-party applications
Deploy applications with confidence
Many software vendors build and certify their applications for MySQL, PostgreSQL, and SQL Server. Since Cloud SQL offers standard versions of these databases, including extensions, configuration flags, and drivers, applications can run unmodified. Make your journey to the cloud and let us take tedious database administration tasks off your plate.
Learning resources
Deploy applications with confidence
Many software vendors build and certify their applications for MySQL, PostgreSQL, and SQL Server. Since Cloud SQL offers standard versions of these databases, including extensions, configuration flags, and drivers, applications can run unmodified. Make your journey to the cloud and let us take tedious database administration tasks off your plate.
Generate a solution
What problem are you trying to solve?
What you'll get:
Step-by-step guide
Reference architecture
Available pre-built solutions
Pricing
| How Cloud SQL pricing works | Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing. | |
|---|---|---|
| Service | Description | Price |
Compute | Cloud SQL Enterprise Best for general purpose workloads. It offers: 1-96 vCPUs 1:6.5 core memory ratio 99.95% SLA < 60s of planned downtime | Starting at $0.0413 per vCPU/hour |
Cloud SQL Enterprise Plus Best for high performance workloads. It offers: Up to 128 vCPUs 1:8 core memory ratio 99.99% SLA < 10 seconds of planned downtime (MySQL, PostgreSQL) 2x read and write performance (MySQL, PostgreSQL) Up to 4x better read performance (SQL Server) Memory optimized machines with 1:32 core memory ratio (SQL Server) | Starting at $0.05369 per vCPU/hour | |
Memory | Cloud SQL Enterprise up to 624 GB | Starting at $0.007 per GB/hour |
Cloud SQL Enterprise Plus up to 824 GB (includes performance-optimized machines on SQL Server) | Starting at $0.0091 per GB/hour | |
Cloud SQL Enterprise Plus (SQL Server only) Up to 512 GB for memory-optimized machines | Starting at $0.0161 per GB/hour | |
Storage - SSD | Storage and networking prices depend on the region where the instance is located; Cloud SQL Enterprise pricing and Cloud SQL Enterprise Plus pricing are the same | $0.17 per GB/month |
Storage - Local SSD | This is only available for Cloud SQL Enterprise Plus | $0.16 per GB/month |
PITR Logs on Google Cloud Storage | Cloud SQL Enterprise Up to 7 days | Free |
Cloud SQL Enterprise Plus Up to 35 days | Free | |
How Cloud SQL pricing works
Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
Description
Cloud SQL Enterprise
Best for general purpose workloads. It offers:
1-96 vCPUs
1:6.5 core memory ratio
99.95% SLA
< 60s of planned downtime
Price
Starting at
$0.0413
per vCPU/hour
Cloud SQL Enterprise Plus
Best for high performance workloads. It offers:
Up to 128 vCPUs
1:8 core memory ratio
99.99% SLA
< 10 seconds of planned downtime (MySQL, PostgreSQL)
2x read and write performance (MySQL, PostgreSQL)
Up to 4x better read performance (SQL Server)
Memory optimized machines with 1:32 core memory ratio (SQL Server)
Description
Starting at
$0.05369
per vCPU/hour
Description
Cloud SQL Enterprise
up to 624 GB
Price
Starting at
$0.007
per GB/hour
Cloud SQL Enterprise Plus
up to 824 GB (includes performance-optimized machines on SQL Server)
Description
Starting at
$0.0091
per GB/hour
Cloud SQL Enterprise Plus (SQL Server only)
Up to 512 GB for memory-optimized machines
Description
Starting at
$0.0161
per GB/hour
Description
Storage and networking prices depend on the region where the instance is located; Cloud SQL Enterprise pricing and Cloud SQL Enterprise Plus pricing are the same
Price
Description
This is only available for Cloud SQL Enterprise Plus
Price
PITR Logs on Google Cloud Storage
Description
Cloud SQL Enterprise
Up to 7 days
Price
Free
Cloud SQL Enterprise Plus
Up to 35 days
Description
Free
Pricing Calculator
Estimate your monthly Cloud SQL costs, including region specific pricing and fees.
custom quote
Connect with our sales team to get a custom quote for your organization.
Start your proof of concept
New customers get $300 in free credits to try Cloud SQL and other Google Cloud products
Learn how to use Cloud SQL
Build a resilient architecture with Cloud SQL
Federate queries from BigQuery into Cloud SQL
Migrate a database to Cloud SQL using DMS
Business Case
More than 95% of Google Cloud’s top 100 customers use Cloud SQL
“Given Linear’s existing data volume and our goals for finding a cost-efficient solution, we selected Cloud SQL for PostgreSQL once support for pgvector was added. We were impressed by its scalability and reliability. This choice was also compatible with our existing database usage, models, ORM, etc. and this meant the learning curve was non-existent for our team.”
Tom Moor, Head of US Engineering, Linear
Leveraging the power of Cloud SQL for PostgreSQL with pgvector support, Linear was able to keep pace with its expanding customer base–improving the efficiency, scalability, and reliability of data management, scaling up into the tens of terabytes without increasing engineering effort.
Standard connection drivers and built-in migration tools allow you to create and connect to your first database in just a few minutes.
Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production.
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 supports HIPAA compliance.
Partners & Integration
Accelerate your workloads by working with a partner
Business intelligence and analytics
Consulting partners
Data integration and migration
Data quality and observability
Data security, caching, proxy services
Other questions and support
What is Cloud SQL?
Cloud SQL is a service that delivers fully managed relational databases in the cloud. It offers MySQL, PostgreSQL, and SQL Server database engines.
How is Cloud SQL different from other cloud databases?
Cloud SQL is valued for its openness, ease of use, security, cost-efficiency, and Google Cloud integration—in fact, more than 95% of Google Cloud’s top 100 customers use it. If you're comparing PostgreSQL options on Google Cloud, view our comparison chart.
What is the Cloud SQL free trial, and how do I get started?
The Cloud SQL free trial is a dedicated, 30-day program designed to give both new and existing Google Cloud users hands-on access to premium, enterprise-grade features of Cloud SQL (PostgreSQL and MySQL).
What it entails: You receive a gold-standard configuration, including the Enterprise Plus edition with data cache and high availability (PostgreSQL only) enabled for realistic, mission-critical testing.
To get started: Simply provision your trial instance from the Cloud SQL page. There is no automatic charge. When you are ready to move to production, you can seamlessly convert your instance to a paid service with a one-click upgrade at any time during the 30-day trial or the subsequent 90-day stopped state.
What's the difference between the Enterprise and Enterprise Plus editions?
For PostgreSQL, the Enterprise Plus edition brings enhanced availability, performance, and data protection capabilities. Specifically, it provides a 99.99% availability SLA with near-zero downtime maintenance, optimized hardware and software configurations, intelligent data caching for read-intensive transactional workloads, a configurable data cache option, and 35 days of log retention.
For MySQL, the Enterprise Plus edition brings enhanced availability, performance, and data protection capabilities. Specifically, it provides a 99.99% availability SLA with near-zero downtime maintenance, optimized hardware and software configurations, intelligent data caching for read-intensive transactional workloads, a configurable data cache option, 35 days of log retention, and advanced disaster recovery capabilities like orchestrated failover and switchback.
For SQL Server, the Enterprise Plus edition brings enhanced availability, performance, and disaster recovery capabilities. Specifically, it provides a 99.99% availability SLA, two machine families with performance-optimized and memory-optimized machines, a configurable data cache option for read-intensive workloads, and advanced disaster recovery capabilities like orchestrated failover and switchback.