Google Cloud offers $300 in free credits for new customers. Try Cloud SQL for free.
Fully managed relational database service for Microsoft SQL Server. With Cloud SQL for SQL Server, you can spend less time on your SQL Server database operations, and more time on your applications.
New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade.
Offers full compatibility for your applications on SQL Server production editions 2019 and 2017
Automates database management tasks like provisioning, patching, high availability, and backups
Ensures business continuity with reliable services backed by a world-class 24/7 SRE team
Integrates with services like Google Kubernetes Engine (GKE) and Cloud Functions
Offers compatibility with tools, such as SQL Server Management Studio and SQL Server Data Tools
Key features
Continue using the same tools and skills you rely upon today, such as PowerShell, SQL Server Management Studio (SSMS), and sqlcmd, which can be accessed through gcloud CLI. We offer database compatibility extending back to SQL Server 2005, including support and access to SQL agent jobs you rely upon today. Get started fast with easy, serverless migrations using Database Migration Service.
Cloud SQL automatically ensures your SQL Server databases are reliable, secure, and scalable so that your business continues to run without disruption. Automate all your backups, failover, replication, software patching, and capacity increases—while ensuring more than 99.95% availability, anywhere in the world.
Your data is secured with automatic encryption at rest and in transit, with integrated support for customer managed encryption keys. Virtual Private Cloud (VPC) and user-controlled network access with firewall protection ensure access from trusted parties at all times. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA.
Access Cloud SQL from virtually any application. Easily connect from Google Compute Engine, Google Kubernetes Engine, and your workstation. Visualize your data with Looker to open analytics possibilities.
Ensure data reliability at all times by using high availability to recover from an incident with zero data loss, backed by a world-class 24/7 SRE team. Leverage automated backups to guard against user error. Use cross-region replicas and global VPCs to simplify protecting your data in the event of a disaster.
Customers
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Documentation
Learn about the major features and capabilities of Cloud SQL for SQL Server.
An overview of the high availability (HA) configuration for Cloud SQL for SQL Server instances.
Learn the basic steps required to create a SQL Server instance integrated with Microsoft Active Directory using Cloud SQL.
Learn database administration best practices for Cloud SQL for SQL Server.
Learn how to migrate data from SQL Server 2017 to Cloud SQL for SQL Server using snapshot replication.
Learn how to run SQL Server reliably and securely with Cloud SQL, a fully-managed database service on Google Cloud.
All features
Gemini in Databases | Simplify all aspects of the database journey with AI-powered assistance, helping teams focus on what matters most. Gemini in Cloud SQL, in preview, enables developers, operators, and database administrators to build applications quickly using natural language, and helps manage, optimize, and govern an entire fleet of databases with a single pane of glass. |
Compatibility | Build and deploy for the cloud faster because Cloud SQL offers standard SQL Server databases, ensuring application compatibility. |
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. |
Secure access and connectivity | Full support for Microsoft Active Directory authentication. 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 for SQL Server instance includes a network firewall, allowing you to control public network access to your database instance. |
Automatic 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. |
Easy integration | Access Cloud SQL for SQL Server instances from just about any application. Easily connect from App Engine, Compute Engine, Google Kubernetes Engine, and your workstation. Use your favorite tools, like SQL Server Management Studio. |
Scalability | Easily scale up as your data grows—add up to 96 processor cores, 624 GB of RAM, and 60 TB of storage. Add read replicas to handle increasing read traffic. Automatic storage increases eliminate the need to estimating future storage needs or spending money on capacity before you need it. |
Maintenance on your terms | Fast, automated maintenance keeps your instances patched and stable. We notify you a week in advance—you can delay by up to a week based on your needs, and specify maintenance denial periods of up to 90 days. |
LangChain integration | Easily build gen AI applications that are more 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. |
Pricing
Cloud SQL for SQL Server offers sizes to fit any budget. Pricing varies with settings, including how much CPU, memory, and storage you provision. Cloud SQL offers per-second billing and database instances are easy to stop and start. SQL Server licensing is provided at a separate rate per vCPU/hour by edition.
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