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Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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.
According to an IDC study, Cloud SQL customers achieved a three-year ROI of 246% and a payback period of 11 months. You can scale as your application grows, customize your machine types, and choose different levels of performance and availability, up to a 99.99% availability SLA. Committed use discounts offer additional savings for 1 to 3 year commitments.
Extend your database application to build AI-powered experiences using the pgvector PostgreSQL extension, LangChain, and LLMs. Cloud SQL for PostgreSQL is great for storing vector embeddings from your ML models.
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 it’s available at no additional charge for migrations to Cloud SQL.
View AI/ML-driven insights and recommendations for performance, security, reliability, and cost. Quickly understand and resolve database performance issues through pre-built dashboards and visual query plans using Cloud SQL Insights. Cloud SQL with Active Assist uses advanced analytics and ML to identify over-provisioned and idle instances in your fleet and alert you as needed.
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.
Configure built-in high availability (HA) with automatic failover across zones with just a click of a button to provide isolation from many types of infrastructure, hardware, and software failures. Optimize your database costs depending on your application—choose a 99.99% availability SLA (inclusive of maintenance) for business-critical transactional workloads or a 99.95% availability SLA to lower your costs.
Configure backups for data protection and restore your instance to an earlier point in time with a retention period of up to 35 days. 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.
Cloud SQL data is encrypted when on Google’s internal networks and when stored 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.
Easily scale up as your data grows—add processor cores, RAM, 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 are near your limit. Read replicas support high availability, can have their own read replicas, and can be located across regions and platforms.
Cloud SQL offers near-zero downtime of less than 10 seconds for planned maintenance. It also offers flexible maintenance window features like advance email notification and the ability to reschedule by 28 days, pick specific times for maintenance, and deny maintenance for up to 90 days.
Cloud SQL can automatically accelerate your applications using built-in performance management techniques. Cloud SQL for MySQL also leverages flash memory on your database instance to lower read latency and improve throughput by intelligently caching data across memory and high speed storage.
Stream data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Scale up or down with a serverless architecture and no resources to provision or manage, and enable near real-time insights on operational data.
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 via the console, CLI, or REST API and connect your app via standard database drivers.