This page describes some of the other Google Cloud products that are integrated with Cloud Storage.
For a list of Google Cloud products that are integrated specifically with Cloud Storage FUSE, see Cloud Storage FUSE integrations with Google Cloud products .
Product
Links
Use Cloud Storage to store large scale training data for GPU and TPU clusters, and use Cloud Storage FUSE for most artificial intelligence (AI) and machine learning (ML) use cases. For more information, see Storage services
.
Use Cloud Storage when querying, importing, or exporting
data:
- Perform federated queries on data stored in a Cloud Storage bucket
- Load data from Cloud Storage into BigQuery
- Load data from Cloud Storage to BigQuery using Workflows
- Export data from BigQuery to Cloud Storage
- Transfer data from Cloud Storage to BigQuery
- Build open-format lakehouses on Google Cloud by using BigLake tables for Apache Iceberg in BigQuery
Use Cloud Asset Inventory to help you manage large numbers of
Google Cloud resources, such as Cloud Storage buckets:
Use Google's global edge network to serve content closer to users,
which accelerates your websites and applications:
Use a Cloud Storage bucket as a load balancer backend:
Store logs in Cloud Storage:
Set up functions in response to events in Cloud Storage:
Import and export data using Cloud Storage:
Mount Cloud Storage buckets onto your local file system
so you can store data using file system semantics:
Use Cloud Storage from within a Compute Engine
instance:
- Use Service Accounts with Applications
- Export an image to Cloud Storage
- Use a startup script stored in Cloud Storage
- Mount a bucket as a file system on a virtual machine instance
Configure your Cloud Storage buckets using Kubernetes
tooling and APIs:
Perform data processing tasks of any size and use a
Cloud Storage bucket to hold staging files and temporary data:
Run MapReduce jobs directly on data in Cloud Storage:
Add extensions to your development tools for fast access to your
Cloud Storage buckets and objects:
Identify and understand your Cloud Storage errors:
Securely and efficiently access your mobile and web app data using Firebase SDKs for Cloud Storage:
Use Google's modern and extensible content delivery platform to
deliver exceptional, planet-scale experiences to your users:
Pub/Sub Notifications allow you to track changes to
your Cloud Storage objects:
Use Sensitive Data Protection to detect and classify sensitive data
stored in Cloud Storage objects:
Transfer data between Cloud Storage and other storage
providers or filesystems:
- Transfer data between Cloud Storage buckets
- Transfer data to and from Cloud Storage
- Use event-driven transfers to keep a Cloud Storage bucket in sync with an Amazon S3 or Cloud Storage source
Store your Vertex AI model data and output in
Cloud Storage:
Create perimeters to protect the resources and data in
Cloud Storage:
