Cloud SQL for MySQL
Highly performant, fully managed MySQL database service
Fully managed MySQL database for demanding enterprise workloads. Offers a 99.99% availability SLA and category-leading performance with Cloud SQL Enterprise Plus Edition.
New customers get $300 in free credits to try Cloud SQL for MySQL and other Google Cloud products.
Looking for information on all versions of MySQL supported by Cloud SQL? Click here
功能
High performance
Cloud SQL for MySQL uses built-in software optimizations and hardware stack featuring an optional data cache option to boost performance, delivering up to 3x higher read throughput and up to 2x improvement in write latency compared to Enterprise Edition. When compared to Amazon’s comparable MySQL service, Cloud SQL for MySQL delivers up to 3x higher performance.
Fully managed
Cloud SQL for MySQL manages your MySQL databases so you don't have to, enabling your business to run without disruption. Cloud SQL automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
Vector search
Vector search is a critical capability for building useful and accurate gen AI-powered apps. Cloud SQL for MySQL supports two search approaches for balancing speed and accuracy. Approximate nearest neighbor (ANN) vector search is ideal for large datasets where close matches suffice, while exact nearest neighbor (KNN) vector search is typically used for high precision on smaller datasets. Integrate vector search directly into your existing AI-powered apps without needing to learn and manage a separate system.
Secure and trusted
Your data is secured with automatic encryption at rest and in transit, with integrated support for customer-managed encryption keys, Cloud IAM database authentication, Virtual Private Cloud (VPC), and user-controlled network access with firewall protection 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.
Gemini in databases
Simplify all aspects of the database journey with AI-powered assistance, helping you focus on what matters most. Gemini in Cloud SQL, in Preview, simplifies all aspects of database operations including migration, development, performance optimization, governance, and fleet management with a single pane of glass. It offers insights into database performance, security, reliability, and cost to help you quickly understand and resolve issues of all types.
MySQL compatible
Continue to leverage the MySQL ecosystem and administration tools, such as MySQL Workbench, mysqldump, phpMyAdmin, dbForge Studio, Toad Edge for MySQL, and the MySQL CLI, which is integrated in our Cloud SDK. Experience full support for all current versions of MySQL, and get access to nearly 200 flags to optimize your environment. Get started fast with easy, serverless migrations using Database Migration Service.
Highly available with 99.99% SLA
Easily configure built-in high availability with automatic failover across zones to protect your applications from a variety of possible failures. Automated backups and point-in-time recovery guard against user error. Use cross-region replicas and global VPCs to simplify protecting your data in the event of a disaster. Cloud SQL for MySQL offers up to 99.99% availability SLA for the most demanding workloads featuring maintenance and instance scale-up with typically sub-second downtime.
Fast, easy, and secure migrations
Database Migration Service makes it easy to migrate databases from on-premises, Compute Engine, and other clouds to Cloud SQL for MySQL with minimal downtime. DMS leverages the native replication capabilities of the source database to maximize the reliability of your migration. Lift and shift migrations to Cloud SQL are available at no additional charge.
Data protection with backups and point-in-time-recovery
Automate daily backups and binary logging to restore your instance to its state at an earlier point in time with a retention period of up to 35 days.
Compliance
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.
Easy integrations
Access Cloud SQL for MySQL instances from just about any application. Seamlessly connect from Compute Engine, Cloud Run, Google Kubernetes Engine, and your workstation. 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.
Scalability
Easily scale up as your data grows—add up to 128 processor cores, 864 GB of RAM, and 70 TB of storage. Add read replicas, cross-region read replicas, cascading read replicas, and external read replicas to handle increasing read traffic. Automatic storage increases eliminate the need to estimate future storage needs or spend money on capacity before you need it.
Fast, automated maintenance keeps your instances patched and stable. Cloud SQL for MySQL offers sub-second downtime for planned maintenance, and all availability SLAs (up to 99.99%) are inclusive of maintenance. Receive notifications up to 5 weeks in advance so that you can plan around maintenance better and apply controls, such as a week-long postponement or a deny period of up to 90 days.
LangChain integration
Easily build gen AI applications that are accurate, transparent, and reliable with LangChain integration. Cloud SQL has three LangChain integrations: Document loader for loading and storing information from documents, Vector stores for enabling semantic search, and Chat Messages Memory for enabling chains to recall previous conversations. Visit the GitHub repository to learn more.
Data cache
The data cache leverages flash memory on your MySQL database instances to lower read latency and improve throughput by intelligently caching data across memory and high speed local storage.
Cloud SQL for MySQL editions
| Features | Enterprise | Enterprise Plus |
|---|---|---|
Machine type | General purpose machine family | Performance optimized N family |
Machine configuration | Up to 96 vCPU Up to 624 GB RAM 1:6.5 core:memory ratio | Up to 128 vCPU Up to 864 GB RAM 1:8 core:memory ratio |
Versions supported | MySQL 5.6, 5.7, 8.0 | MySQL 8.0 |
Availability SLA | 99.95% | 99.99% |
Maintenance downtime | < 60 seconds | < 1 second |
Data cache | No | Yes |
PITR retention | Up to 7 days | Up to 35 days |
For more information click here.
Machine type
Enterprise
General purpose machine family
Enterprise Plus
Performance optimized N family
Machine configuration
Enterprise
Up to 96 vCPU
Up to 624 GB RAM
1:6.5 core:memory ratio
Enterprise Plus
Up to 128 vCPU
Up to 864 GB RAM
1:8 core:memory ratio
Versions supported
Enterprise
MySQL 5.6, 5.7, 8.0
Enterprise Plus
MySQL 8.0
Availability SLA
Enterprise
99.95%
Enterprise Plus
99.99%
Maintenance downtime
Enterprise
< 60 seconds
Enterprise Plus
< 1 second
Data cache
Enterprise
No
Enterprise Plus
Yes
PITR retention
Enterprise
Up to 7 days
Enterprise Plus
Up to 35 days
For more information click here.
運作方式
Create a new database from the console or use Database Migration Service to migrate an existing database. Manage your database via the console, CLI, or REST API to scale up in minutes, to replicate data across zones and regions, and for maintenance, logging, monitoring, and configuration.
Create a new database from the console or use Database Migration Service to migrate an existing database. Manage your database via the console, CLI, or REST API to scale up in minutes, to replicate data across zones and regions, and for maintenance, logging, monitoring, and configuration.
Cloud SQL in a minute
常見用途
ecommerce
Build ecommerce applications
Cloud SQL for MySQL is great at managing structured data like product catalogs, customer information, orders, and inventory levels. Cloud SQL's ability to handle high volumes of transactions and concurrent users ensures optimal shopping experience even during peak traffic times, while its strong security features protect sensitive customer data, making it a great choice for ecommerce applications.
學習資源
Build ecommerce applications
Cloud SQL for MySQL is great at managing structured data like product catalogs, customer information, orders, and inventory levels. Cloud SQL's ability to handle high volumes of transactions and concurrent users ensures optimal shopping experience even during peak traffic times, while its strong security features protect sensitive customer data, making it a great choice for ecommerce applications.
Content management systems (CMS)
Build CMS websites
MySQL is the backbone of many CMS platforms like WordPress, Drupal, and Joomla. Its ability to efficiently store and retrieve articles, blog posts, images, user comments, and website settings make it ideal for this use case. MySQL's relational structure makes it easy to link articles to categories, tags, and authors, enabling complex content organization. Furthermore, Cloud SQL’s scalability ensures that websites remain responsive as the content grows.
學習資源
Build CMS websites
MySQL is the backbone of many CMS platforms like WordPress, Drupal, and Joomla. Its ability to efficiently store and retrieve articles, blog posts, images, user comments, and website settings make it ideal for this use case. MySQL's relational structure makes it easy to link articles to categories, tags, and authors, enabling complex content organization. Furthermore, Cloud SQL’s scalability ensures that websites remain responsive as the content grows.
Games
Mobile game backends
MySQL is a well known relational database used when building online game backends. It can store game world state and essential persistence data. For small- to medium-sized, asynchronous, turn-based mobile games, a database such as Cloud SQL for MySQL can be an excellent choice as it is fully managed MySQL with solid performance, minimal operations, and automated backups.
學習資源
Mobile game backends
MySQL is a well known relational database used when building online game backends. It can store game world state and essential persistence data. For small- to medium-sized, asynchronous, turn-based mobile games, a database such as Cloud SQL for MySQL can be an excellent choice as it is fully managed MySQL with solid performance, minimal operations, and automated backups.
Generative AI
Build generative AI applications
MySQL plays a crucial role in developing and deploying generative AI applications with its support of storage and similarity search for vector embeddings. Cloud SQL for MySQL provides K-nearest-neighbor (KNN) and approximate-nearest-neighbor (ANN) search between embeddings. Furthermore Cloud SQL’s integration with LangChain makes it a great choice for generative AI application development.
學習資源
Build generative AI applications
MySQL plays a crucial role in developing and deploying generative AI applications with its support of storage and similarity search for vector embeddings. Cloud SQL for MySQL provides K-nearest-neighbor (KNN) and approximate-nearest-neighbor (ANN) search between embeddings. Furthermore Cloud SQL’s integration with LangChain makes it a great choice for generative AI application development.
定價
| 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 | 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 | Starting at $0.0091 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 | |
Get full details on pricing and learn about committed use discounts.
Watch video: Supercharging your applications with Cloud SQL Enterprise Plus (2:58)
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.
Compute
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
Description
Starting at
$0.05369
per vCPU/hour
Memory
Description
Cloud SQL Enterprise
up to 624 GB
Price
Starting at
$0.007
per GB/hour
Cloud SQL Enterprise Plus
up to 824 GB
Description
Starting at
$0.0091
per GB/hour
Storage - SSD
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
$0.17
per GB/month
Storage - Local SSD
Description
This is only available for Cloud SQL Enterprise Plus
Price
$0.16
per GB/month
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
Get full details on pricing and learn about committed use discounts.
Watch video: Supercharging your applications with Cloud SQL Enterprise Plus (2:58)
Pricing Calculator
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custom quote
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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
What is MySQL?
Self managed MySQL vs Cloud SQL for MySQL
Best practice to set up MySQL instance
企業案例
More than 95% of Google Cloud’s top 100 customers use Cloud SQL
"Cloud SQL for MySQL has been a game-changer, reducing operational burdens and boosting teams’ satisfaction."
Grzegorz Dlugolecki, Principal Cloud and Kubernetes Engineer, Chess.com
Deploying Cloud SQL for MySQL for their core services enabled Chess.com to reduce the size of their environment resulting in significant cost savings and reduced latency. Specifically, the p99 latency response saw a remarkable drop of 71.4 percent — going from 14ms to an impressive 4ms.
Read customer story
