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Cloud SQL for Google Cloud

Cloud SQL for Google Cloud

A significant number of applications deployed in Google Cloud require database access. Cloud SQL is a fully managed relational database service provided by Google Cloud. It supports MySQL, PostgreSQL, and SQL Server, offering secure, scalable, and reliable solutions for a wide range of use cases. Cloud SQL abstracts the complexities of managing database infrastructure, enabling developers to focus on building applications rather than database administration.

Google Cloud also provides other database options for specific use cases, such as Cloud Spanner for globally distributed databases, Firestore for NoSQL document databases, and Bigtable for large-scale analytical workloads. However, Cloud SQL is usually the straightforward and highly integrated choice for developers familiar with traditional SQL database engines.

For applications that require more granular control and / or OS access, running SQL Server or other database engines directly on Google Compute Engine (VMs) can be an alternative. However, Cloud SQL is now a default choice for most cloud-native applications seeking managed database solutions.

Cloud SQL – Use Cases

Typical use cases for Cloud SQL include:

  • Rapid Deployment of Reliable Databases: Provision a new database instance in minutes with high availability and automated maintenance, backups, and scaling. Ideal for OLTP (Online Transaction Processing) and moderately complex relational database requirements.
  • Enterprise Applications: Support key systems like finance, sales order management, and systems of record with a managed SQL backend.
  • Stream Processing and Analytics: Integrate with Google Cloud tools such as Pub/Sub and Dataflow to process streaming data, generating actionable insights in real time.
  • Simplifying Complex Data Landscapes: Consolidate disparate databases into Cloud SQL for unified management, reducing operational complexity and cost.
  • Cloud Migrations: Enable businesses with existing MySQL, PostgreSQL, or SQL Server workloads to transition to managed services, leveraging familiar tools and skillsets while gaining cloud-native benefits such as automated failover and scaling.

Cloud SQL – Learn More