AWS and Google Cloud Cut Multicloud Network Deployment from Weeks to Minutes

AWS and Google Cloud automate cross-cloud networking

AWS Interconnect–multicloud and Google Cloud Cross-Cloud Interconnect now establish private, high-speed connections between the two platforms in minutes rather than weeks. The services, announced November 6, eliminate manual provisioning steps that previously extended deployment timelines for enterprises running workloads across both clouds. Salesforce is an identified early user.

The development shifts competitive focus from basic private-link availability—already supported across AWS, Google Cloud, Azure, and Oracle Cloud Infrastructure—toward provisioning speed and interoperability. Buyers funding disaster recovery, data sovereignty requirements, or low-latency data exchange between AWS and Google workloads gain a concrete deployment advantage. The service does not address duplicated identity, security, observability, or governance tooling costs that persist across providers.

Buyers should request region availability, bandwidth commitments, service-level agreements, routing controls, and total egress economics before treating this as a complete multicloud architecture. Neither company disclosed pricing, throughput benchmarks, or availability targets in the announcement.

Google Cloud eliminates variable egress fees for cross-cloud queries

Google Cloud's Agentic Data Cloud, Borderless Lakehouse, and Spanner Omni are generally available with cross-cloud interconnect and caching for AWS and Azure. The company claims zero variable egress fees for private cross-cloud queries in the described offering.

The Borderless Lakehouse uses Apache Iceberg format. Spanner Omni supports applications spanning on-premises, edge, and multicloud environments. This positions Google Cloud against AWS data-lake services, Microsoft Fabric, Snowflake, and Databricks for organizations querying data across AWS and Azure.

The zero-egress claim could materially change data-platform purchasing decisions, but buyers must validate which query paths, regions, caching conditions, and workloads qualify. Google published no independent performance benchmark or price comparison.

Multicloud premium: 23% higher costs, 41% better availability

A 2026 study from Halkwinds Research surveyed 524 enterprise cloud teams and found multicloud environments cost 23% more to operate than single-cloud environments while delivering 41% better availability. The data supports a selective multicloud strategy: resilience-critical workloads may justify the premium, while lower-criticality applications may be cheaper on one well-governed provider.

Enterprise business cases should quantify the cost of duplicated tooling, networking, security operations, skills, and data transfer against the financial cost of downtime. The 23% figure represents directional guidance rather than a universal benchmark—procurement teams should model their own cost structures based on workload profiles, governance requirements, and failure tolerance.

What this means for enterprise buyers

The AWS–Google interconnect launch reduces one specific friction point in multicloud architecture: network deployment time. It does not reduce the cost of running multicloud environments or eliminate the operational complexity of managing security policies, identity systems, and observability tools across providers.

Buyers should treat this as a network provisioning improvement, not a multicloud strategy catalyst. The major unresolved costs—governance, security operations, data portability, and data gravity—remain central to multicloud budgets. For organizations already committed to AWS and Google Cloud for separate application, analytics, or AI workloads, the service removes a deployment bottleneck. For organizations evaluating multicloud adoption, the 23% cost premium and the lack of pricing transparency in the interconnect announcement argue for careful workload-level business cases.

What to watch

Request detailed pricing from AWS and Google for the interconnect service, including per-gigabyte data transfer costs and bandwidth commitments. Compare total cost against existing VPN, SD-WAN, or third-party interconnect providers. Validate which Google Cloud regions support the zero-egress data query claim and which query engines, formats, and caching configurations qualify. Monitor whether Azure responds with similar automated provisioning for AWS or Google connectivity—Azure's collaboration with AWS on multicloud networking positions Microsoft as a potential third participant in provider-integrated interconnect services.