Google Cloud Data Transfer Services
Google Cloud Data Transfer services provide various options in terms of network and transfer tools to help transfer data from on-premises to Google Cloud network.
📋 Last Updated: June 2026 — Updated with gcloud storage CLI (gsutil replacement), Storage Transfer Service event-driven transfers, Cross-Cloud Interconnect, Transfer Appliance data export, BigQuery Data Transfer Service new sources, Classic VPN dynamic routing deprecation, and Network Connectivity Center.
Network Services
- Provides network connectivity with Google Cloud between on-premises network and Google Cloud, or from Google Cloud to another cloud provider.
- Cloud VPN still routes the traffic through the Internet.
- Cloud VPN is quick to set up (as compared to Interconnect)
- Each Cloud VPN tunnel can support up to 3 Gbps total for ingress and egress, but available bandwidth depends on the connectivity. Bandwidth can be increased by adding more tunnels.
- Choose Cloud VPN to encrypt traffic to Google Cloud, or with lower throughput solution, or experimenting with migrating the workloads to Google Cloud
- HA VPN is the recommended VPN configuration offering a 99.99% SLA when configured with tunnels on both interfaces per Google best practices.
- Classic VPN provides a 99.9% SLA. Note: Classic VPN dynamic routing (BGP) was deprecated on August 1, 2025. HA VPN must be used for BGP-based VPN connectivity.
- HA VPN over Cloud Interconnect allows encrypting traffic traversing Dedicated or Partner Interconnect connections for additional security and compliance.
- Cloud VPN supports customizable cipher options (Public Preview as of June 2025) allowing configuration of ciphers per security requirements.
- Cloud Interconnect offers a direct connection to Google Cloud through Google or one of the Cloud Interconnect service providers.
- Cloud Interconnect service prevents data from going on the public internet and can provide a more consistent throughput for large data transfers
- For enterprise-grade connection to Google Cloud that has higher throughput requirements, choose Dedicated Interconnect (10 Gbps to 100 Gbps) or Partner Interconnect (50 Mbps to 50 Gbps)
- Cloud Interconnect provides access to all Google Cloud products and services from your on-premises network except Google Workspace.
- Cloud Interconnect also allows access to supported APIs and services by using Private Google Access from on-premises hosts.
- Cross-Cloud Interconnect enables dedicated, private connectivity between Google Cloud and another cloud service provider (AWS, Azure, Oracle Cloud Infrastructure, Alibaba Cloud). This eliminates the need for traffic to traverse the public internet for multicloud architectures.
- Partner Cross-Cloud Interconnect (available for AWS) provides an on-demand method for cross-cloud transport without manually setting up networking components.
- Cross-Site Interconnect (GA 2025) is a transparent, on-demand Layer 2 connectivity solution leveraging Google’s global infrastructure for high-bandwidth connectivity between on-premises sites.
- Direct Peering provides access to the Google network with fewer network hops than with a public internet connection
- By using Direct Peering, internet traffic is exchanged between the customer network and Google’s Edge Points of Presence (PoPs), which means the data does not use the public internet.
- Google does not offer a Service Level Agreement (SLA) with Direct Peering.
- For SLA-backed connectivity, Cloud Interconnect (Dedicated or Partner) is recommended over Direct Peering.
Network Connectivity Center
- Network Connectivity Center (NCC) is an orchestration framework that simplifies network connectivity using a hub-and-spoke model.
- Supports three types of spokes: VPC spokes, Producer VPC spokes, and Hybrid spokes (HA VPN tunnels, Cloud Interconnect VLAN attachments, Router appliance VMs).
- Enables site-to-cloud connectivity (external networks to Google Cloud) and site-to-site connectivity (using Google Cloud as enterprise WAN).
- Supports up to 250 VPC spokes per hub and provides transitivity between workload VPCs.
- Useful for managing complex multicloud and hybrid network topologies centrally.
Google Cloud Networking Services Decision Tree

Transfer Services
⚠️ gsutil Deprecation Notice: gsutil is no longer the recommended CLI for Cloud Storage. Google recommends using gcloud storage commands in the Google Cloud CLI instead. gsutil does not support newer Cloud Storage features such as soft delete and managed folders. gcloud storage commands require less manual optimization and provide faster transfer rates.
gcloud storage (replacement for gsutil) is the standard tool for small- to medium-sized transfers (less than 1 TB) over a typical enterprise-scale network, from a private data center to Google Cloud.
gcloud storage provides all the basic features needed to manage Cloud Storage instances, including copying data to and from the local file system and Cloud Storage.
gcloud storage can also move, rename, and remove objects and perform real-time incremental syncs (similar to rsync) to a Cloud Storage bucket.
gcloud storage is especially useful in the following scenarios:
- As-needed transfers or during command-line sessions by your users.
- Transferring only a few files or very large files, or both.
- Consuming the output of a program (streaming output to Cloud Storage).
- Watching a directory with a moderate number of files and syncing any updates with very low latencies.
gcloud storage provides the following features:
- Parallel multi-threaded transfers for increased transfer speeds.
- Composite transfers for a single large file, breaking them into smaller chunks to increase transfer speed. Chunks are transferred and validated in parallel. Once the chunks arrive at Google, they are combined (composited) to form a single object.
- Uses faster CRC32C hashing algorithm for data integrity checking (improved over gsutil’s crcmod).
- Migration: Replace
gsutil commands with equivalent gcloud storage commands. For example: gsutil cp → gcloud storage cp, gsutil rsync → gcloud storage rsync.
Storage Transfer Service
- Storage Transfer Service is a fully managed, highly scalable service to automate transfers into Cloud Storage from multiple sources.
- Supported Sources:
- Amazon S3
- S3-compatible storage (requires agents)
- Microsoft Azure Blob Storage and Azure Data Lake Storage Gen2
- Cloud Storage (bucket-to-bucket)
- Publicly accessible HTTP/HTTPS URLs
- On-premises file systems (POSIX-compliant, requires agents)
- Hadoop Distributed File System (HDFS, requires agents)
- Storage Transfer Service for Cloud-to-Cloud transfers:
- Supports transfers from S3, Azure Blob Storage, and Cloud Storage without agents.
- Supports daily copies of any modified objects.
- Storage Transfer Service for on-premises data:
- Is designed for large-scale transfers (up to petabytes of data, billions of files).
- Supports full copies or incremental copies.
- Can be set up by installing on-premises software (known as agents) onto computers in the data center.
- Has a simple, managed graphical user interface; even non-technically savvy users (after setup) can use it to move data.
- Provides robust error-reporting and a record of all files and objects that are moved.
- Supports executing recurring transfers on a schedule.
- Event-Driven Transfers (2025-2026):
- Listens to event notifications to automatically transfer new or updated objects.
- Supported for AWS S3 (via S3 Event Notifications to Amazon SQS).
- Supported for Azure Blob Storage and Data Lake Storage Gen2 (via Azure Event Grid to Azure Storage Queues) — available since January 2026.
- Supported for Cloud Storage (via Pub/Sub notifications).
- Private Network Transfers (December 2025): Transfer data from AWS S3 or Azure Blob Storage to Cloud Storage over a private network connection using Cross-Cloud Interconnect or Partner Interconnect, optimizing costs and compliance.
- Google-Managed Private Network for S3: Transfer from S3 over a Google-managed private network, eliminating AWS egress fees with a flat per-GiB rate.
- AWS GovCloud Support (2026): Supports transfers from S3 buckets in us-gov-east-1 and us-gov-west-1 regions.
- Organization Policy Constraints (February 2026): Custom organization policy constraints to control Storage Transfer Service usage (e.g., restrict sources or destinations).
- Encrypts data in transit, supports VPC Service Controls, and uses checksums for data integrity.
Transfer Appliance
- Transfer Appliance is an excellent option for performing large-scale transfers, especially when a fast network connection is unavailable, it’s too costly to acquire more bandwidth, or it’s a one-time transfer.
- Expected turnaround time for a network appliance to be shipped, loaded with the data, shipped back, and rehydrated on Google Cloud is approximately 50 days.
- Consider Transfer Appliance if the online transfer timeframe is calculated to be substantially more than this timeframe.
- Transfer Appliance requires the ability to receive and ship back the Google-owned hardware.
- Transfer Appliance is available only in certain countries.
- Data Export (GA in US): Transfer Appliance now supports exporting data from Cloud Storage to the appliance, which is then shipped to you. This enables large-scale data egress from Google Cloud when network transfer is impractical.
- gcloud CLI Support (Alpha):
gcloud alpha transfer appliances commands allow viewing in-progress results, working with draft orders, and cloning existing orders.
- Data is encrypted during upload, transit, after upload to Cloud Storage, and during download for data export.
- BigQuery Data Transfer Service automates data movement into BigQuery on a scheduled, managed basis.
- After a data transfer is configured, the BigQuery Data Transfer Service automatically loads data into BigQuery on a regular basis.
- BigQuery Data Transfer Service can also initiate data backfills to recover from any outages or gaps.
- BigQuery Data Transfer Service can only sink data to BigQuery and cannot be used to transfer data out of BigQuery.
- Also supports dataset copies and scheduled queries within BigQuery.
- BigQuery Data Transfer Service supports loading data from the following data sources:
- Google SaaS Applications:
- Google Ads
- Google Ad Manager
- Campaign Manager
- Search Ads 360
- Google Merchant Center
- Google Play
- YouTube Channel reports
- YouTube Content Owner reports
- Google Analytics 4 (GA4) — provides 12 daily partitioned tables reflecting UI reports
- Cloud Storage — supports incremental and truncated write preferences
- External cloud storage providers:
- Amazon S3 (supports cross-cloud transfer)
- Data warehouses:
- Third-party connectors (2025):
- Salesforce Sales Cloud
- Salesforce Marketing Cloud (SFMC)
- Facebook Ads
- Adobe Analytics

Transfer Data vs Speed Comparison

Choosing the Right Transfer Method
| Method |
Best For |
Data Size |
Network Requirement |
| gcloud storage |
Ad-hoc, small transfers |
< 1 TB |
Standard internet |
| Storage Transfer Service |
Recurring, large cloud-to-cloud or on-premises transfers |
TB to PB scale |
Available network (supports private network) |
| Transfer Appliance |
One-time massive transfers, limited bandwidth |
Hundreds of TB to PB |
Minimal (physical shipping) |
| BigQuery Data Transfer Service |
SaaS data ingestion into BigQuery |
Varies |
Standard internet |
GCP Certification Exam Practice Questions
- Questions are collected from Internet and the answers are marked as per my knowledge and understanding (which might differ with yours).
- GCP services are updated everyday and both the answers and questions might be outdated soon, so research accordingly.
- GCP exam questions are not updated to keep up the pace with GCP updates, so even if the underlying feature has changed the question might not be updated
- Open to further feedback, discussion and correction.
- A company wants to connect cloud applications to an Oracle database in its data center. Requirements are a maximum of 9 Gbps of data and a Service Level Agreement (SLA) of 99%. Which option best suits the requirements?
- Implement a high-throughput Cloud VPN connection
- Cloud Router with VPN
- Dedicated Interconnect
- Partner Interconnect
- An organization wishes to automate data movement from Software as a Service (SaaS) applications such as Google Ads and Google Ad Manager on a scheduled, managed basis. This data is further needed for analytics and generate reports. How can the process be automated?
- Use Storage Transfer Service to move the data to Cloud Storage
- Use Storage Transfer Service to move the data to BigQuery
- Use BigQuery Data Transfer Service to move the data to BigQuery
- Use Transfer Appliance to move the data to Cloud Storage
- Your company’s migration team needs to transfer 1PB of data to Google Cloud. The network speed between the on-premises data center and Google Cloud is 100Mbps. The migration activity has a timeframe of 6 months. What is the efficient way to transfer the data?
- Use BigQuery Data Transfer Service to transfer the data to Cloud Storage
- Expose the data as a public URL and Storage Transfer Service to transfer it
- Use Transfer Appliance to transfer the data to Cloud Storage
- Use
gcloud storage command to transfer the data to Cloud Storage
- Your company uses Google Analytics for tracking. You need to export the session and hit data from a Google Analytics 360 reporting view on a scheduled basis into BigQuery for analysis. How can the data be exported?
- Configure a scheduler in Google Analytics to convert the Google Analytics data to JSON format, then import directly into BigQuery using
bq command line.
- Use
gcloud storage to export the Google Analytics data to Cloud Storage, then import into BigQuery and schedule it using Cron.
- Import data to BigQuery directly from Google Analytics using Cron
- Use BigQuery Data Transfer Service to import the data from Google Analytics
- A company needs to automatically transfer new files from an AWS S3 bucket to Cloud Storage as soon as they are created, with minimal latency. What is the most efficient approach?
- Schedule Storage Transfer Service to run every 15 minutes
- Use a Lambda function to call the Cloud Storage API on each new object
- Configure Storage Transfer Service event-driven transfers using S3 Event Notifications and Amazon SQS
- Use gsutil rsync with a cron job
- An organization wants to establish private, high-bandwidth connectivity between their Google Cloud environment and their AWS infrastructure for a multicloud application. Which service should they use?
- Cloud VPN with HA configuration
- Partner Interconnect
- Cross-Cloud Interconnect
- Direct Peering
- A company needs to transfer 500 TB of data from Azure Blob Storage to Cloud Storage while keeping all traffic off the public internet and maintaining dedicated bandwidth. What combination should they use?
- Storage Transfer Service over public internet
- Storage Transfer Service with private network transfer over Cross-Cloud Interconnect
- Transfer Appliance
- gcloud storage cp command
- Your organization wants to centrally manage connectivity between multiple VPC networks, on-premises sites, and other cloud providers using a hub-and-spoke model. Which Google Cloud service should you use?
- Cloud Router
- VPC Network Peering
- Shared VPC
- Network Connectivity Center
References