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.

Build and deploy for the cloud faster because Cloud SQL offers standard SQL Server databases, ensuring application compatibility.

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.

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.

Automate daily backups and binary logging to restore your instance to its state at an earlier point in time.

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.

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.

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.

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.