与 Cloud SQL 集成
本页面介绍了 Cloud SQL for MySQL 与其他产品和服务之间的集成。
Trusted Cloud by S3NS 服务
本部分介绍了 Cloud SQL 集成的 Trusted Cloud 服务。
Looker
Looker 是一个提供商业智能、数据应用和嵌入式分析的企业级平台。Looker 可帮助您探索、共享和直观呈现公司的数据，以便做出更明智的业务决策。
如需开始使用，请参阅将 Looker 与 Cloud SQL 搭配使用。
BigQuery
BigQuery 是 Google 推出的全面托管型低成本分析数据仓库，可提供 PB 级数据规模。您可以使用 BigQuery 查询 Cloud SQL 中存储的数据。
要开始使用 BigQuery，请参阅查询 Cloud SQL 数据。
Cloud Run functions
Cloud Run 函数是与 Cloud SQL 集成的事件驱动型无服务器计算平台。
Cloud Run
Cloud Run 是一个可让您运行容器的托管式计算平台。您可以通过请求或事件调用容器，并将其与 Cloud SQL 集成。
从 Cloud Run 连接到 Cloud SQL 页面演示了如何使用多种编程语言配置和连接到 Cloud SQL。
App Engine 标准环境
App Engine 标准环境基于在 Google 基础架构上运行的容器实例。容器预先配置了几种可用运行时之一。
从 App Engine 标准环境连接到 Cloud SQL 页面演示了如何使用多种编程语言配置和连接到 Cloud SQL。
App Engine 柔性环境
App Engine 柔性环境会在均衡负载的同时自动扩缩您的应用。
从 App Engine 柔性环境连接到 Cloud SQL 页面演示了如何使用多种编程语言配置和连接到 Cloud SQL。
Google Kubernetes Engine
Google Kubernetes Engine 可帮助您在 Kubernetes 上部署、管理和扩缩容器化应用（由 Trusted Cloud by S3NS提供支持）。
从 Google Kubernetes Engine 连接页面演示了如何配置和连接到 Cloud SQL。
数据管理
本部分介绍了 Cloud SQL 集成的数据管理工具。
Dataplex Universal Catalog
Dataplex Universal Catalog 是一个元数据管理和治理平台。您可以使用 Dataplex Universal Catalog 来整理和丰富 Cloud SQL 资源的元数据。
基础架构管理
本部分介绍了 Cloud SQL 集成的基础架构管理工具。
Apps 脚本
Apps 脚本可以通过 JDBC 服务（标准 Java 数据库连接技术的一种封装容器）连接到外部数据库。JDBC 服务支持 Cloud SQL。
Terraform 是一种开源工具，可将 API 编码为声明式配置文件。您可以将这些文件分享给团队成员，将它们作为代码来处理，还可对它们进行修改、审核和版本控制。
如需详细了解如何将 Cloud SQL 与 Terraform 结合使用，请参阅 Terraform 文档中的 Cloud SQL 数据库实例。
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-09-03。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-09-03。"],[],[],null,["# Integrations with Cloud SQL\n\n\u003cbr /\u003e\n\nMySQL \\| [PostgreSQL](/sql/docs/postgres/integrations \"View this page for the PostgreSQL database engine\") \\| [SQL Server](/sql/docs/sqlserver/integrations \"View this page for the SQL Server database engine\")\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nThis page describes integrations between Cloud SQL for MySQL and other products and\nservices.\n\nGoogle Cloud services\n---------------------\n\nThis section describes the Google Cloud services that\nCloud SQL integrates with.\n\n### Looker\n\nLooker is an enterprise platform for business intelligence, data\napplications, and embedded analytics. Looker helps you explore, share,\nand visualize your company's data so that you can make better business\ndecisions.\n\nTo get started, see [Use Looker with Cloud SQL](/sql/docs/mysql/looker).\n\n### BigQuery\n\n[BigQuery](/bigquery) is Google's fully managed, petabyte-scale,\nlow-cost analytics data warehouse. You can use BigQuery to query\ndata stored in Cloud SQL.\n\nTo get started, see [Querying Cloud SQL Data](/bigquery/docs/cloud-sql-federated-queries#api).\n\n### Cloud Run functions\n\n[Cloud Run functions](/functions) is an event-driven serverless compute\nplatform that integrates with Cloud SQL.\n\n### Cloud Run\n\n[Cloud Run](/run/docs) is a managed compute platform that\nlets you run containers. You can invoke the containers by requests or events and\nintegrate them with Cloud SQL.\n\nThe [Connecting from Cloud Run to Cloud SQL](/sql/docs/mysql/connect-run) page demonstrates how to configure and connect to\nCloud SQL in several programming languages.\n\n### App Engine standard environment\n\nThe [App Engine standard environment](/appengine/docs/standard) is based on container instances running\non Google's infrastructure. Containers are preconfigured with one of several\navailable runtimes.\n\nThe [Connecting from App Engine standard environment to Cloud SQL](/sql/docs/mysql/connect-app-engine-standard) page demonstrates how to configure and connect to\nCloud SQL in several programming languages.\n\n### App Engine flexible environment\n\nThe [App Engine flexible environment](/appengine/docs/flexible) automatically scales your app up and down while\nalso balancing the load.\n\nThe [Connecting from App Engine flexible environment to Cloud SQL](/sql/docs/mysql/connect-app-engine-flexible) page demonstrates how to configure and connect to\nCloud SQL in several programming languages.\n\n### Google Kubernetes Engine\n\n[Google Kubernetes Engine](/kubernetes-engine/docs) helps you deploy, manage, and scale\ncontainerized applications on Kubernetes, powered by Google Cloud.\n\nThe [Connecting from Google Kubernetes Engine](/sql/docs/mysql/connect-kubernetes-engine) page demonstrates\nhow to configure and connect to Cloud SQL.\n\nData management\n---------------\n\nThis section describes data management tools that Cloud SQL integrates\nwith.\n\n### Dataplex Universal Catalog\n\nDataplex Universal Catalog is a metadata management and governance platform.\nYou can use Dataplex Universal Catalog to organize and enrich the\nmetadata of Cloud SQL resources.\n\nInfrastructure management\n-------------------------\n\nThis section describes infrastructure management tools that\nCloud SQL integrates with.\n\n### Apps Script\n\n[Apps Script](https://developers.google.com/apps-script/guides/jdbc) can connect\nto external databases through the JDBC service, a wrapper around the standard\nJava Database Connectivity technology. The JDBC service supports Cloud SQL.\n\n### Terraform\n\nTerraform is an open source tool that codifies APIs into declarative\nconfiguration files. These files can be shared among team members, treated as\ncode, edited, reviewed, and versioned.\n\nFor more information about using Cloud SQL with Terraform, see\n[Cloud SQL Database Instance](https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/sql_database_instance) in the Terraform\ndocumentation."]]
