Google Cloud Datastore Locations

When you first use Cloud Datastore, you must choose a location where the project's data is stored. To reduce latency and increase availability, store your data close to the users and services that need it.

Types of locations

There are two types of locations where you can store data using Cloud Datastore: multi-region locations and regional locations.

Multi-region locations provide multi-region redundancy and higher availability. Regional locations provide lower write latency and co-location with other Google Cloud Platform resources that your application may use.

Multi-region locations

A multi-region location is a general geographical area, such as the United States. Multi-region locations contain multiple regional locations. The following multi-region locations are available:

Multi-Region Name Multi-Region Description
europe-west Europe
us-central United States

Regional location

A regional location is a specific geographic place, such as South Carolina. The following regional locations are available:

Region Name Region Description
us-east1 South Carolina
us-east4 Northern Virginia
Asia Pacific
asia-northeast1 Tokyo
australia-southeast1 Sydney
europe-west2 London
europe-west3 Frankfurt

All regional locations are separated from other regional locations by at least 100 miles.

Choosing a location

You must specify a location for your project before you use Cloud Datastore. You can set the location in the Datastore Entities page. The following example shows selection of a location:

Screenshot of the Select a location page

After you set a location, you cannot change it for the project later.

Finding the location you chose

To find out which location you selected for your project, open the Google App Engine Dashboard in the Google Cloud Platform Console. The location information is in the upper right-hand corner of the dashboard.

Screenshot of the previously chosen location

Next steps

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Cloud Datastore Documentation