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.
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|
A regional location is a specific geographic place, such as South Carolina. The following regional locations are available:
|Region Name||Region Description|
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:
After you set a location, you cannot change it for the project later.