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Have a stable and scalable data backend for all your applications. With our cloud-native offerings for documents (Cloud Firestore), key-value storage (Cloud Bigtable) and for relational databases (Cloud Spanner), you don’t need to worry about sizing or scalability ceilings. With our managed open source and third-party party database offerings like Cloud SQL MySQL, Postgres or SQL Server, we provide you a path to build or migrate your applications without the headache of managing the database yourself.

We offer a wide variety of databases supporting many different use cases. Visit our Databases landing page to learn how we can support your needs for more performance, less maintenance, and larger scale across many different data shapes and types.

Learn how to get started with one of our managed open source databases.

Cloud Firestore is a NoSQL document database built for automatic scaling, high performance, and ease of application development. Learn how to set up Cloud Firestore, add data, and read data by using any of our C#, Go, Java, Node.js, PHP, Python, or Ruby server client libraries.

Experts and influencers

Meet Google Cloud's database experts

Codelabs

Codelab

Learn how to create a new Cloud SQL instance, connect to it using the MySQL command line interface, and create an empty database.

Codelab

Learn how to use Cloud Bigtable with the Java HBase client.

Codelab

Learn how to use Cloud Memorystore as a cache backend for a Spring Boot application.

Learn about and work through real-world use cases of Google Cloud's databases

News feed

Get the latest news and articles about Google Cloud's databases

Videos

Featured Google Cloud database videos from Google’s YouTube channels