Bucket Locations

This page explains the concept of bucket location and the different locations where you can create buckets.

Key concepts

  • You specify a location for storing your object data when you create a bucket. There are different location types:

    • A regional location is a specific geographic place, such as London.

    • A multi-regional location is a large geographic area, such as the United States, that contains at least two geographic places.

      • A dual-regional locationBeta is a special type of multi-regional location that consists of two specific regional locations.
  • Objects stored in a multi-regional location are geo-redundant.

  • Some storage classes can only be used in a certain type of location.

  • Cloud Storage stores object data in the selected location in accordance with the Service Specific Terms.

Location considerations

A good location balances latency, availability, and bandwidth costs for data consumers.

  • Use a regional location to help optimize latency, availability, and network bandwidth for data consumers grouped in the same region.

    • Store frequently accessed data, such as data used for analytics, as Regional Storage.

    • Store data typically accessed less than once a month, such as archived data, as Nearline Storage.

    • Store data typically accessed less than once a year, such as backup and disaster recovery data, as Coldline Storage.

  • Use a dual-regional location when you want similar performance advantages as regional locations but with added geo-redundancy.

  • Use a general multi-regional location when you want to serve content to data consumers that are outside of the Google network and distributed across large geographic areas, or when you need your data to be geo-redundant.

    • Store frequently accessed data as Multi-Regional Storage.

    • Store data typically accessed less than once a month as Nearline Storage.

    • Store data typically accessed less than once a year as Coldline Storage.

  • If you're not sure which location type to use or have no scenario in mind, use a regional location that is convenient or contains the majority of the users of your data.

Compute Engine VM notes

  • Storing data in the same region as your Compute Engine VM instances can provide better performance and lower network costs. These advantages apply to both regional and dual-regional locations.
  • While you can't specify a Compute Engine zone as a bucket location, all Compute Engine VM instances in zones within a certain regional location have similar performance when accessing buckets in that regional location.

Available locations

The following sections list the Cloud Storage locations available for storing your data.

Regional locations

All regional locations are at least 100 miles apart.

Region Name Region Description
North America
northamerica-northeast1 Montréal
us-central1 Iowa
us-east1 South Carolina
us-east4 Northern Virginia
us-west1 Oregon
us-west2 Los Angeles
South America
southamerica-east1 São Paulo
Europe
europe-north1 Finland
europe-west1 Belgium
europe-west2 London
europe-west3 Frankfurt
europe-west4 Netherlands
Asia
asia-east1 Taiwan
asia-east2 Hong Kong
asia-northeast1 Tokyo
asia-south1 Mumbai
asia-southeast1 Singapore
Australia
australia-southeast1 Sydney

Multi-regional locations

Multi-Region Name Multi-Region Description
asia Data centers in Asia
eu Data centers in the European Union1
us Data centers in the United States

1 Object data added to a bucket in the eu multi-region is not stored in the europe-west2 data center.

Dual-regional locations

Dual-Region Name Dual-Region Description
eur4 europe-north1 and europe-west4
nam4 us-central1 and us-east1

Alpha locations

  • us-central2— Central United States

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